Overview Indigo Industries is seeking a Technology Assessor to lead the evaluation of emerging defense technologies for operational relevance, mission utility, and transition viability. This role supports the company's mission to accelerate the deployment of advanced capabilities through rigorous, mission-focused assessments and experimentation. The Technology Assessor will play a critical role in identifying, planning, and executing technical evaluations in coordination with government sponsors, end users, and industry partners. Key Responsibilities Develop, plan, and execute structured assessments of technologies under consideration for operational integration. Conduct capability gap analysis and technology maturity assessments in support of Department of Defense stakeholders. Author detailed test and evaluation artifacts, including Assessment & Evaluation Plans, Data Collection Plans, and Final Technical Reports. Establish and track operational metrics, including Measures of Effectiveness (MOEs), Measures of Suitability (MOSs), Key Performance Parameters (KPPs), and Critical Operational Issues (COIs). Coordinate test events across laboratory, field, and simulation environments; support data instrumentation, analysis, and reporting. Participate in planning conferences, working groups, and joint experiment coordination meetings. Work collaboratively with government sponsors, technical vendors, and internal project staff to align assessment objectives with transition pathways. Minimum Qualifications Bachelor's degree in engineering, applied science, systems analysis, or a closely related discipline. At least three years of experience in systems evaluation, defense prototyping, or test and evaluation (T&E). Familiarity with DoD acquisition processes, Joint Capabilities Integration and Development System (JCIDS), and rapid prototyping efforts. Demonstrated ability to manage assessment cycles across diverse technical areas and user communities. Preferred Qualifications Advanced degree or relevant professional certifications (e.g., DAU T&E Level II or higher, PMP). Experience supporting DoD programs of record, Joint Capability Technology Demonstrations (JCTDs), or programs executed under Other Transaction Authorities (OTAs). Operational experience or direct support to the Department of Defense, intelligence community, or national security stakeholders. Familiarity with modeling and simulation tools (e.g., AFSIM, OneSAF, or equivalent) and experimental data analysis techniques. Clearance Requirements Active Secret clearance required. Top Secret / SCI eligibility preferred.
09/04/2025
Full time
Overview Indigo Industries is seeking a Technology Assessor to lead the evaluation of emerging defense technologies for operational relevance, mission utility, and transition viability. This role supports the company's mission to accelerate the deployment of advanced capabilities through rigorous, mission-focused assessments and experimentation. The Technology Assessor will play a critical role in identifying, planning, and executing technical evaluations in coordination with government sponsors, end users, and industry partners. Key Responsibilities Develop, plan, and execute structured assessments of technologies under consideration for operational integration. Conduct capability gap analysis and technology maturity assessments in support of Department of Defense stakeholders. Author detailed test and evaluation artifacts, including Assessment & Evaluation Plans, Data Collection Plans, and Final Technical Reports. Establish and track operational metrics, including Measures of Effectiveness (MOEs), Measures of Suitability (MOSs), Key Performance Parameters (KPPs), and Critical Operational Issues (COIs). Coordinate test events across laboratory, field, and simulation environments; support data instrumentation, analysis, and reporting. Participate in planning conferences, working groups, and joint experiment coordination meetings. Work collaboratively with government sponsors, technical vendors, and internal project staff to align assessment objectives with transition pathways. Minimum Qualifications Bachelor's degree in engineering, applied science, systems analysis, or a closely related discipline. At least three years of experience in systems evaluation, defense prototyping, or test and evaluation (T&E). Familiarity with DoD acquisition processes, Joint Capabilities Integration and Development System (JCIDS), and rapid prototyping efforts. Demonstrated ability to manage assessment cycles across diverse technical areas and user communities. Preferred Qualifications Advanced degree or relevant professional certifications (e.g., DAU T&E Level II or higher, PMP). Experience supporting DoD programs of record, Joint Capability Technology Demonstrations (JCTDs), or programs executed under Other Transaction Authorities (OTAs). Operational experience or direct support to the Department of Defense, intelligence community, or national security stakeholders. Familiarity with modeling and simulation tools (e.g., AFSIM, OneSAF, or equivalent) and experimental data analysis techniques. Clearance Requirements Active Secret clearance required. Top Secret / SCI eligibility preferred.
Company Overview: Amperesand is disrupting industrial power with the first commercialized Solid State Transformer systems. Solid State Transformer systems are much more than a transformer replacement, enabling numerous advanced features to unlock solutions for data centers, EV charging, renewables, microgrids, and industrial installations. We are seeking mission-driven team members who are passionate about making amazing products for worldwide electrification at maximum acceleration. Amperesand is building a global company and looking for talent across our geographies. Role: At Amperesand, you will lead the reliability lifecycle from concept through design, testing, manufacturing, and field deployments, while ensuring the product meets stringent reliability requirements to support the world's critical infrastructure. Responsibilities: Lead reliability efforts across the product lifecycle-from concept to field deployment for SSTs. Develop robust reliability design guidelines and research failure mechanisms to ensure durability and accelerate time to market. Apply reliability models (e.g., Fault Trees, block diagrams) and lead Design FMEAs to identify risks early, influence engineering decisions, and shape test coverage. Champion reliability in design reviews by clearly communicating risks to all stakeholders and mitigation plans at each phase of development. Specify and execute reliability test plans using physics-of-failure principles, defining system vs component-level testing with defined sampling and durations. Analyze accelerated life tests and field performance to refine reliability models, predict product longevity, and implement corrective actions. Resolve failures through root cause analysis using advanced diagnostic techniques. Grow and mentor a reliability engineering team to support development and continuous improvement. Collaborate with design, manufacturing, and quality teams to define reliability targets, assess program risks, and embed feedback into future iterations. Influence supplier selection by setting clear reliability validation standards. Monitor fleet usage and operating conditions to enable predictive health insights, reduce field failures, and refine long-term reliability strategies. Travel to different facilities worldwide, collaborating with teams and deploying our solutions. Qualifications : Advanced degree (Master's or PhD) in Electrical or Mechanical Engineering. Deep expertise in power electronics fundamentals, focusing on high voltage and high power systems. Proficiency in accelerated testing methods, including governing equations and physics of failure for electrical and mechanical failure mechanisms. Strong understanding of reliability statistics, including Weibull distribution, Maximum Likelihood Estimation, Bayesian methods, and Monte Carlo analysis. Hands-on experience with failure analysis techniques, such as optical microscopy, SEM, CSAM, X-ray, cross-sectioning, and EDX. Expertise in reliability tools such as ReliaSoft Synthesis Platform (Weibull , BlockSim, ALTA, RGA, xFMEA) or equivalent. Experience integrating electronic CAD and mechanical CAE data into 3D finite element models (e.g., using Sherlock or similar tools). Proven experience shipping high-volume products, with a strong understanding of reliability challenges in scaled manufacturing and deployment. Proficiency in programming languages for data analysis and reliability modeling. Proven leadership experience in building and managing high-performing engineering teams. Excellent communication skills to articulate reliability risks and requirements to cross-functional teams and suppliers. PI2a02d7a41d25-4065
09/04/2025
Full time
Company Overview: Amperesand is disrupting industrial power with the first commercialized Solid State Transformer systems. Solid State Transformer systems are much more than a transformer replacement, enabling numerous advanced features to unlock solutions for data centers, EV charging, renewables, microgrids, and industrial installations. We are seeking mission-driven team members who are passionate about making amazing products for worldwide electrification at maximum acceleration. Amperesand is building a global company and looking for talent across our geographies. Role: At Amperesand, you will lead the reliability lifecycle from concept through design, testing, manufacturing, and field deployments, while ensuring the product meets stringent reliability requirements to support the world's critical infrastructure. Responsibilities: Lead reliability efforts across the product lifecycle-from concept to field deployment for SSTs. Develop robust reliability design guidelines and research failure mechanisms to ensure durability and accelerate time to market. Apply reliability models (e.g., Fault Trees, block diagrams) and lead Design FMEAs to identify risks early, influence engineering decisions, and shape test coverage. Champion reliability in design reviews by clearly communicating risks to all stakeholders and mitigation plans at each phase of development. Specify and execute reliability test plans using physics-of-failure principles, defining system vs component-level testing with defined sampling and durations. Analyze accelerated life tests and field performance to refine reliability models, predict product longevity, and implement corrective actions. Resolve failures through root cause analysis using advanced diagnostic techniques. Grow and mentor a reliability engineering team to support development and continuous improvement. Collaborate with design, manufacturing, and quality teams to define reliability targets, assess program risks, and embed feedback into future iterations. Influence supplier selection by setting clear reliability validation standards. Monitor fleet usage and operating conditions to enable predictive health insights, reduce field failures, and refine long-term reliability strategies. Travel to different facilities worldwide, collaborating with teams and deploying our solutions. Qualifications : Advanced degree (Master's or PhD) in Electrical or Mechanical Engineering. Deep expertise in power electronics fundamentals, focusing on high voltage and high power systems. Proficiency in accelerated testing methods, including governing equations and physics of failure for electrical and mechanical failure mechanisms. Strong understanding of reliability statistics, including Weibull distribution, Maximum Likelihood Estimation, Bayesian methods, and Monte Carlo analysis. Hands-on experience with failure analysis techniques, such as optical microscopy, SEM, CSAM, X-ray, cross-sectioning, and EDX. Expertise in reliability tools such as ReliaSoft Synthesis Platform (Weibull , BlockSim, ALTA, RGA, xFMEA) or equivalent. Experience integrating electronic CAD and mechanical CAE data into 3D finite element models (e.g., using Sherlock or similar tools). Proven experience shipping high-volume products, with a strong understanding of reliability challenges in scaled manufacturing and deployment. Proficiency in programming languages for data analysis and reliability modeling. Proven leadership experience in building and managing high-performing engineering teams. Excellent communication skills to articulate reliability risks and requirements to cross-functional teams and suppliers. PI2a02d7a41d25-4065
Overview Indigo Industries is seeking a Technology Assessor to lead the evaluation of emerging defense technologies for operational relevance, mission utility, and transition viability. This role supports the company's mission to accelerate the deployment of advanced capabilities through rigorous, mission-focused assessments and experimentation. The Technology Assessor will play a critical role in identifying, planning, and executing technical evaluations in coordination with government sponsors, end users, and industry partners. Key Responsibilities Develop, plan, and execute structured assessments of technologies under consideration for operational integration. Conduct capability gap analysis and technology maturity assessments in support of Department of Defense stakeholders. Author detailed test and evaluation artifacts, including Assessment & Evaluation Plans, Data Collection Plans, and Final Technical Reports. Establish and track operational metrics, including Measures of Effectiveness (MOEs), Measures of Suitability (MOSs), Key Performance Parameters (KPPs), and Critical Operational Issues (COIs). Coordinate test events across laboratory, field, and simulation environments; support data instrumentation, analysis, and reporting. Participate in planning conferences, working groups, and joint experiment coordination meetings. Work collaboratively with government sponsors, technical vendors, and internal project staff to align assessment objectives with transition pathways. Minimum Qualifications Bachelor's degree in engineering, applied science, systems analysis, or a closely related discipline. At least three years of experience in systems evaluation, defense prototyping, or test and evaluation (T&E). Familiarity with DoD acquisition processes, Joint Capabilities Integration and Development System (JCIDS), and rapid prototyping efforts. Demonstrated ability to manage assessment cycles across diverse technical areas and user communities. Preferred Qualifications Advanced degree or relevant professional certifications (e.g., DAU T&E Level II or higher, PMP). Experience supporting DoD programs of record, Joint Capability Technology Demonstrations (JCTDs), or programs executed under Other Transaction Authorities (OTAs). Operational experience or direct support to the Department of Defense, intelligence community, or national security stakeholders. Familiarity with modeling and simulation tools (e.g., AFSIM, OneSAF, or equivalent) and experimental data analysis techniques. Clearance Requirements Active Secret clearance required. Top Secret / SCI eligibility preferred.
09/03/2025
Full time
Overview Indigo Industries is seeking a Technology Assessor to lead the evaluation of emerging defense technologies for operational relevance, mission utility, and transition viability. This role supports the company's mission to accelerate the deployment of advanced capabilities through rigorous, mission-focused assessments and experimentation. The Technology Assessor will play a critical role in identifying, planning, and executing technical evaluations in coordination with government sponsors, end users, and industry partners. Key Responsibilities Develop, plan, and execute structured assessments of technologies under consideration for operational integration. Conduct capability gap analysis and technology maturity assessments in support of Department of Defense stakeholders. Author detailed test and evaluation artifacts, including Assessment & Evaluation Plans, Data Collection Plans, and Final Technical Reports. Establish and track operational metrics, including Measures of Effectiveness (MOEs), Measures of Suitability (MOSs), Key Performance Parameters (KPPs), and Critical Operational Issues (COIs). Coordinate test events across laboratory, field, and simulation environments; support data instrumentation, analysis, and reporting. Participate in planning conferences, working groups, and joint experiment coordination meetings. Work collaboratively with government sponsors, technical vendors, and internal project staff to align assessment objectives with transition pathways. Minimum Qualifications Bachelor's degree in engineering, applied science, systems analysis, or a closely related discipline. At least three years of experience in systems evaluation, defense prototyping, or test and evaluation (T&E). Familiarity with DoD acquisition processes, Joint Capabilities Integration and Development System (JCIDS), and rapid prototyping efforts. Demonstrated ability to manage assessment cycles across diverse technical areas and user communities. Preferred Qualifications Advanced degree or relevant professional certifications (e.g., DAU T&E Level II or higher, PMP). Experience supporting DoD programs of record, Joint Capability Technology Demonstrations (JCTDs), or programs executed under Other Transaction Authorities (OTAs). Operational experience or direct support to the Department of Defense, intelligence community, or national security stakeholders. Familiarity with modeling and simulation tools (e.g., AFSIM, OneSAF, or equivalent) and experimental data analysis techniques. Clearance Requirements Active Secret clearance required. Top Secret / SCI eligibility preferred.
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. A leading global aerospace company and top U.S. exporter, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. Our U.S. and global workforce and supplier base drive innovation, economic opportunity, sustainability and community impact. Boeing is committed to fostering a culture based on our core values of safety, quality and integrity. Boeing is focused on providing and exploring opportunities to enhance the Systems Engineering workforce within our Saint Louis-based Divisions/Business Units, work locations to include Hazelwood, MO, Saint Charles, MO or Berkeley, MO. This includes, but is not limited to, products within our Air Dominance (AD), Phantom Works (PW), Weapons (SI&WS), Government Services (BGS), and Test & Evaluation (BT&E) divisions/business units - Products within the portfolio may include: Fighters (F-15 & F/A-18), T-7A Trainers, MQ-25, F-47, Precision Engagement Systems (JDAM, SDB, etc), Government Services (F-22, P-8, Vertical lift, Apache, Support Equipment, Trainers), other. Our teams are currently hiring for a broad range of experience Systems Engineering disciplines including, Experienced and Lead Levels: Systems Architecture & Definition Systems Integration, Verification, & Validation Systems Engineering Measurement & Controls Reliability, Maintainability, & System Health Flight Crew Operations Integrations Human Factors & Ergonomics Operations / Systems Analysis Customer Engineering Crew Station Design & Integration Position Responsibilities: Lead the systems engineering efforts for capacity expansion programs, ensuring alignment with overall program goals and objectives Lead the cross-functional team to define and maintain the system requirements, interfaces, behaviors, and verification requirements Apply interdisciplinary, collaborative approaches to plan, design, develop and verify complex systems solutions Evaluate customer and /operational needs to define and coordinate system performance requirements, integrate technical parameters and assure compatibility of all physical, functional and program interfaces Perform analyses for affordability, safety, reliability, maintainability, testability, human systems integration, survivability, vulnerability, susceptibility, system security, regulatory, certification, product assurance and other specialties quality factors into a preferred configuration to ensure mission success Develop, manage, and validate system requirements, including technical specifications and supplier requirements, to ensure compliance with program standards. Conduct design reviews and technical assessments, providing guidance and recommendations to ensure system performance and reliability Support, develop, maintain and identify improvements for the planning, organization, implementation and monitoring of requirements management processes, tools, risk, issues, opportunity management and technology readiness assessment processes This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. Travel may be required; Domestically and/or Internationally depending on business needs. This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. A final U.S. Secret or Top Secret Clearance Post-Start is required. Special Program Access or other Government Access Requirements may be required for these positions. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science Prior Systems Engineering experience to include but not limited to system design, functional decomposition, requirements development, analysis, verification, and validation Technical understanding and experience with one (or more) of the following: Cameo, MSOSA, Rhapsody, DOORS, SysML, Cadece/Pspice, Python, C#, JavaScript, Visual Studio, Subversion, Azure DevOps, Git, CAFTA, ReliaSoft or FaultTree+ Preferred Qualifications (Desired Skills/Experience): Level 3: 5 or more years' related work experience or an equivalent combination of education and experience Level 4: 9 or more years' related work experience or an equivalent combination of education and experience Leadership experience to include but not limited to engineering leadership roles and/or leading work and driving teams to success Active U.S. Security Clearance Candidates should have the ability to: Apply interdisciplinary and collaborative approaches to planning, designing, development, and verification to ensure Lifecycle Balanced system of systems and system solutions Evaluate customer and /operational needs to define and coordinate system performance requirements, integrate technical parameters and assure compatibility of all physical, functional and program interfaces Perform various analyses to optimize total system of systems and/or system architecture. Performs analyses for affordability, safety, reliability, maintainability, testability, human systems integration, survivability, vulnerability, susceptibility, system security, regulatory, certification, product assurance and other specialties quality factors into a preferred configuration to ensure mission success Develop the planning, organization, implementation and monitoring of requirements management processes, tools, risk, issues, opportunity management and technology readiness assessment processes. Resolves cross-functional technical issues Knowledge of various engineering disciplines such as electrical, mechanical, and systems. The ability to communicate with technical personnel from multiple skill areas and functions to evaluate technical information and issues impacting design, production, and support of products, services, or other deliverables Knowledge of responsibilities and tasks performed by various Engineering departments/disciplines (e.g., design, test, software, technology, avionics). Knowledge of the interaction between departments/disciplines and how their products/processes affect one another and impact non-engineering processes (e.g., Operations, Logistics, Business) Knowledge and understanding of the methodology and processes associated with risk management, conducting trade studies including cost as an independent variable (CAIV) trades Advanced knowledge of modeling techniques (e.g., mathematical modeling, simulation, design of experiments, operations research) to analyze a system Advanced knowledge of design concepts and techniques (e.g., concurrent engineering, Design for Manufacture/Assembly DFM/A ) Typical Education/Experience: Experienced, Level 3 Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 5 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Lead, Level 4 Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 9 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. . click apply for full job details
09/03/2025
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. A leading global aerospace company and top U.S. exporter, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. Our U.S. and global workforce and supplier base drive innovation, economic opportunity, sustainability and community impact. Boeing is committed to fostering a culture based on our core values of safety, quality and integrity. Boeing is focused on providing and exploring opportunities to enhance the Systems Engineering workforce within our Saint Louis-based Divisions/Business Units, work locations to include Hazelwood, MO, Saint Charles, MO or Berkeley, MO. This includes, but is not limited to, products within our Air Dominance (AD), Phantom Works (PW), Weapons (SI&WS), Government Services (BGS), and Test & Evaluation (BT&E) divisions/business units - Products within the portfolio may include: Fighters (F-15 & F/A-18), T-7A Trainers, MQ-25, F-47, Precision Engagement Systems (JDAM, SDB, etc), Government Services (F-22, P-8, Vertical lift, Apache, Support Equipment, Trainers), other. Our teams are currently hiring for a broad range of experience Systems Engineering disciplines including, Experienced and Lead Levels: Systems Architecture & Definition Systems Integration, Verification, & Validation Systems Engineering Measurement & Controls Reliability, Maintainability, & System Health Flight Crew Operations Integrations Human Factors & Ergonomics Operations / Systems Analysis Customer Engineering Crew Station Design & Integration Position Responsibilities: Lead the systems engineering efforts for capacity expansion programs, ensuring alignment with overall program goals and objectives Lead the cross-functional team to define and maintain the system requirements, interfaces, behaviors, and verification requirements Apply interdisciplinary, collaborative approaches to plan, design, develop and verify complex systems solutions Evaluate customer and /operational needs to define and coordinate system performance requirements, integrate technical parameters and assure compatibility of all physical, functional and program interfaces Perform analyses for affordability, safety, reliability, maintainability, testability, human systems integration, survivability, vulnerability, susceptibility, system security, regulatory, certification, product assurance and other specialties quality factors into a preferred configuration to ensure mission success Develop, manage, and validate system requirements, including technical specifications and supplier requirements, to ensure compliance with program standards. Conduct design reviews and technical assessments, providing guidance and recommendations to ensure system performance and reliability Support, develop, maintain and identify improvements for the planning, organization, implementation and monitoring of requirements management processes, tools, risk, issues, opportunity management and technology readiness assessment processes This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. Travel may be required; Domestically and/or Internationally depending on business needs. This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. A final U.S. Secret or Top Secret Clearance Post-Start is required. Special Program Access or other Government Access Requirements may be required for these positions. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science Prior Systems Engineering experience to include but not limited to system design, functional decomposition, requirements development, analysis, verification, and validation Technical understanding and experience with one (or more) of the following: Cameo, MSOSA, Rhapsody, DOORS, SysML, Cadece/Pspice, Python, C#, JavaScript, Visual Studio, Subversion, Azure DevOps, Git, CAFTA, ReliaSoft or FaultTree+ Preferred Qualifications (Desired Skills/Experience): Level 3: 5 or more years' related work experience or an equivalent combination of education and experience Level 4: 9 or more years' related work experience or an equivalent combination of education and experience Leadership experience to include but not limited to engineering leadership roles and/or leading work and driving teams to success Active U.S. Security Clearance Candidates should have the ability to: Apply interdisciplinary and collaborative approaches to planning, designing, development, and verification to ensure Lifecycle Balanced system of systems and system solutions Evaluate customer and /operational needs to define and coordinate system performance requirements, integrate technical parameters and assure compatibility of all physical, functional and program interfaces Perform various analyses to optimize total system of systems and/or system architecture. Performs analyses for affordability, safety, reliability, maintainability, testability, human systems integration, survivability, vulnerability, susceptibility, system security, regulatory, certification, product assurance and other specialties quality factors into a preferred configuration to ensure mission success Develop the planning, organization, implementation and monitoring of requirements management processes, tools, risk, issues, opportunity management and technology readiness assessment processes. Resolves cross-functional technical issues Knowledge of various engineering disciplines such as electrical, mechanical, and systems. The ability to communicate with technical personnel from multiple skill areas and functions to evaluate technical information and issues impacting design, production, and support of products, services, or other deliverables Knowledge of responsibilities and tasks performed by various Engineering departments/disciplines (e.g., design, test, software, technology, avionics). Knowledge of the interaction between departments/disciplines and how their products/processes affect one another and impact non-engineering processes (e.g., Operations, Logistics, Business) Knowledge and understanding of the methodology and processes associated with risk management, conducting trade studies including cost as an independent variable (CAIV) trades Advanced knowledge of modeling techniques (e.g., mathematical modeling, simulation, design of experiments, operations research) to analyze a system Advanced knowledge of design concepts and techniques (e.g., concurrent engineering, Design for Manufacture/Assembly DFM/A ) Typical Education/Experience: Experienced, Level 3 Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 5 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Lead, Level 4 Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 9 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. . click apply for full job details
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude License/Certification: CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred Pay Range: $100,900.00 - $186,800.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
09/03/2025
Full time
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude License/Certification: CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred Pay Range: $100,900.00 - $186,800.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude License/Certification: CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred Pay Range: $100,900.00 - $186,800.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
09/03/2025
Full time
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude License/Certification: CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred Pay Range: $100,900.00 - $186,800.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude License/Certification: CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred Pay Range: $100,900.00 - $186,800.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
09/03/2025
Full time
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude License/Certification: CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred Pay Range: $100,900.00 - $186,800.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude License/Certification: CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred Pay Range: $100,900.00 - $186,800.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
09/03/2025
Full time
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude License/Certification: CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred Pay Range: $100,900.00 - $186,800.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude License/Certification: CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred Pay Range: $100,900.00 - $186,800.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
09/03/2025
Full time
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude License/Certification: CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred Pay Range: $100,900.00 - $186,800.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
Join our Generative AI focus team to innovate Software Development at Amazon Are you ready to be part of a team that's redefining the future of software engineering? Our team is Amazon's ambitious initiative to pioneer AI development practices that will fundamentally transform how we build software at scale. Our Mission We're building the next generation of development tools - uncovering how LLMs can originate new ways of thinking, building, and collaborating. What Makes Us Different Ground-floor opportunity to shape the future of software development Direct impact on Amazon's global engineering practices Working with the latest technologies and large language models Culture of experimentation and innovative thinking What We're Looking For You'll lead the research, design, and development of AI technologies that challenge conventional software practices and uncover new ways for engineers to build and collaborate. You're comfortable working in ambiguous spaces, exploring emergent behaviors, and collaborating with designers, prototypers, and engineers to test hypotheses in live, evolving systems. You explore where LLMs behave in unexpected yet promising ways, especially in tasks like context retention, code reasoning, or agent behavior , and use those moments to uncover new AI-native workflows. We're looking for applied scientists with experience in areas like: + Information retrieval + Context and memory modeling + Agent behavior and autonomy + Code understanding and generation + Human-AI interaction What You'll Do Prototype new ways of working with LLMs in engineering workflows Help shape and evaluate scientific approaches behind agentic systems and engineering tools Move fast with engineers and prototypers to guide design decisions and model choices Make sense of unexpected model behavior and guide what to try next Impact Your work will surface where LLMs can meaningfully change how Amazon engineers build. You'll help the team uncover which surprises are worth pursuing and where to push beyond what's already known. Always find a way ️ BASIC QUALIFICATIONS - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Strong analytical, mathematical, and coding skills (e.g., Python, C++, or Java) - Previous work on agents or LLMs PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
09/03/2025
Full time
Join our Generative AI focus team to innovate Software Development at Amazon Are you ready to be part of a team that's redefining the future of software engineering? Our team is Amazon's ambitious initiative to pioneer AI development practices that will fundamentally transform how we build software at scale. Our Mission We're building the next generation of development tools - uncovering how LLMs can originate new ways of thinking, building, and collaborating. What Makes Us Different Ground-floor opportunity to shape the future of software development Direct impact on Amazon's global engineering practices Working with the latest technologies and large language models Culture of experimentation and innovative thinking What We're Looking For You'll lead the research, design, and development of AI technologies that challenge conventional software practices and uncover new ways for engineers to build and collaborate. You're comfortable working in ambiguous spaces, exploring emergent behaviors, and collaborating with designers, prototypers, and engineers to test hypotheses in live, evolving systems. You explore where LLMs behave in unexpected yet promising ways, especially in tasks like context retention, code reasoning, or agent behavior , and use those moments to uncover new AI-native workflows. We're looking for applied scientists with experience in areas like: + Information retrieval + Context and memory modeling + Agent behavior and autonomy + Code understanding and generation + Human-AI interaction What You'll Do Prototype new ways of working with LLMs in engineering workflows Help shape and evaluate scientific approaches behind agentic systems and engineering tools Move fast with engineers and prototypers to guide design decisions and model choices Make sense of unexpected model behavior and guide what to try next Impact Your work will surface where LLMs can meaningfully change how Amazon engineers build. You'll help the team uncover which surprises are worth pursuing and where to push beyond what's already known. Always find a way ️ BASIC QUALIFICATIONS - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Strong analytical, mathematical, and coding skills (e.g., Python, C++, or Java) - Previous work on agents or LLMs PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris Technologies is the Trusted Disruptor in the defense industry. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Manufacturing Engineer (Tool Design Engineer) Job ID: 27793 Job Location: Culpeper, VA Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: Our site near Culpeper, VA , in Orange County is our center of excellence for Solid Rocket Motor Propulsion and Energetics development as well as high-complexity production programs. This position will focus on component and system tooling design for solid rocket propulsion systems and component sub-assembly operations. Work is performed with general direction and exercises considerable latitude in determining objectives and approaches on assignments. The successful individual will guide design and development of Jigs, Fixtures, Lifting devices, and Semi-Automated Equipment to cast and assemble the final product. Essential Functions: Under general supervision, provides engineering design concepts in support of manufacturing process and tooling. Develops CAD Model concepts, 3D modeling and detailed 2D drawings. Is active in design conception as well as assisting in the development of processes, working in a team environment. Responsible for design completeness through fabrication, including tool and process tryout. May support more senior Tooling Engineers to develop tooling concepts and designs. Directs or supports design, fabrication, modifications and repair of special tools in support of manufacturing operations and processes of solid rocket motor, air-breathing, and warhead programs. Provides technical support to product engineering for producibility through manufacturing, test and field use. Assists in tool acceptance criteria for in-house fabrication or outside procurement of special tools. Qualifications: Bachelor's Degree and minimum 4 years of prior tool design experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Preferred Additional Skills: Emphasis in mechanical tool design is preferred. CREO CAD modeling and drafting experience is preferred. Previous machine shop experience is desirable. Experience with solid rocket motors or other energetics is a plus L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
09/03/2025
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris Technologies is the Trusted Disruptor in the defense industry. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Manufacturing Engineer (Tool Design Engineer) Job ID: 27793 Job Location: Culpeper, VA Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: Our site near Culpeper, VA , in Orange County is our center of excellence for Solid Rocket Motor Propulsion and Energetics development as well as high-complexity production programs. This position will focus on component and system tooling design for solid rocket propulsion systems and component sub-assembly operations. Work is performed with general direction and exercises considerable latitude in determining objectives and approaches on assignments. The successful individual will guide design and development of Jigs, Fixtures, Lifting devices, and Semi-Automated Equipment to cast and assemble the final product. Essential Functions: Under general supervision, provides engineering design concepts in support of manufacturing process and tooling. Develops CAD Model concepts, 3D modeling and detailed 2D drawings. Is active in design conception as well as assisting in the development of processes, working in a team environment. Responsible for design completeness through fabrication, including tool and process tryout. May support more senior Tooling Engineers to develop tooling concepts and designs. Directs or supports design, fabrication, modifications and repair of special tools in support of manufacturing operations and processes of solid rocket motor, air-breathing, and warhead programs. Provides technical support to product engineering for producibility through manufacturing, test and field use. Assists in tool acceptance criteria for in-house fabrication or outside procurement of special tools. Qualifications: Bachelor's Degree and minimum 4 years of prior tool design experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Preferred Additional Skills: Emphasis in mechanical tool design is preferred. CREO CAD modeling and drafting experience is preferred. Previous machine shop experience is desirable. Experience with solid rocket motors or other energetics is a plus L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude License/Certification: CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred Pay Range: $100,900.00 - $186,800.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
09/03/2025
Full time
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude License/Certification: CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred Pay Range: $100,900.00 - $186,800.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is looking for a Software Engineers-Simulation (Associate or Experienced) to join the Virtual Simulation Team located in Berkeley, Missouri. This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. As part of the Virtual Warfare Center (VWC) software engineering team, the selected engineer will work on various toolsets focused on virtual simulation and experimentation. The selected individual is responsible for developing capabilities for a variety of customers, both internal partners and external contracts. The primary toolsets are the Virtual Interactive Simulation Environment (VISE) which is a suite of simulations, components, tools and interfaces. These toolsets are responsible for the Operator in the Loop (OITL) real time simulation experiments at the VWC. The selected engineer will have the opportunity to model platforms, sensors and emitters, communications, weapons and tactical systems. The selected engineer will also be responsible for supporting large experimentation efforts, which will involve several advanced concept capabilities which are defined by the customer. Please be aware; this position will expect you to go through the Special Access Program after being hired. Position Responsibilities: As a member of the Virtual Warfare Center virtual simulation team the engineer will work with both the Boeing development team and outside partners on a large-scale federated simulation environment. This position will support Contractual Research and Development efforts and work with the customer to define and implement modeling and simulation in support of the warfighters in their experimentation efforts. The engineer will be required to help determine requirements, develop simulation software, troubleshoot existing software and help create software designs and test plans. Our team is currently hiring for a broad range of experience levels including Associate and Experienced Software Engineers. This position is expected to be 100% onsite. The selected candidate will be required to work on-site at one of the listed location options. Basic Qualifications (Required Skills/ Experience): Top-Secret U.S Security Clearance (A U.S. Security Clearance that has been active in the past 24 months is considered active.) 2+ years of experience with Linux Development Environment 2+ years of experience with C++ 2+ years of experience with version control systems such as Git or Subversion Experience with SDLC and agile methodologies, with focus on Scrum and Kanban Preferred Qualifications (Desired Skills/Experience): 5 or more years' related work experience or an equivalent combination of education and experience Prior experience with operator in the loop real time Simulation Prior experience with Distributive Interactive Simulation (DIS) standards Prior experience with python Ability to manage multiple projects simultaneously Strong team mentality and willingness to contribute Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Total Rewards & Pay Transparency: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Associate: $90,100.00 - $121,900.00 Summary pay range for Experienced: $110,500.00 - $149,500.00 Applications for this position will be accepted until Sept. 08, 2025 Export Control Requirements: This position must meet export control compliance requirements. To meet export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Top Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
09/03/2025
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is looking for a Software Engineers-Simulation (Associate or Experienced) to join the Virtual Simulation Team located in Berkeley, Missouri. This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. As part of the Virtual Warfare Center (VWC) software engineering team, the selected engineer will work on various toolsets focused on virtual simulation and experimentation. The selected individual is responsible for developing capabilities for a variety of customers, both internal partners and external contracts. The primary toolsets are the Virtual Interactive Simulation Environment (VISE) which is a suite of simulations, components, tools and interfaces. These toolsets are responsible for the Operator in the Loop (OITL) real time simulation experiments at the VWC. The selected engineer will have the opportunity to model platforms, sensors and emitters, communications, weapons and tactical systems. The selected engineer will also be responsible for supporting large experimentation efforts, which will involve several advanced concept capabilities which are defined by the customer. Please be aware; this position will expect you to go through the Special Access Program after being hired. Position Responsibilities: As a member of the Virtual Warfare Center virtual simulation team the engineer will work with both the Boeing development team and outside partners on a large-scale federated simulation environment. This position will support Contractual Research and Development efforts and work with the customer to define and implement modeling and simulation in support of the warfighters in their experimentation efforts. The engineer will be required to help determine requirements, develop simulation software, troubleshoot existing software and help create software designs and test plans. Our team is currently hiring for a broad range of experience levels including Associate and Experienced Software Engineers. This position is expected to be 100% onsite. The selected candidate will be required to work on-site at one of the listed location options. Basic Qualifications (Required Skills/ Experience): Top-Secret U.S Security Clearance (A U.S. Security Clearance that has been active in the past 24 months is considered active.) 2+ years of experience with Linux Development Environment 2+ years of experience with C++ 2+ years of experience with version control systems such as Git or Subversion Experience with SDLC and agile methodologies, with focus on Scrum and Kanban Preferred Qualifications (Desired Skills/Experience): 5 or more years' related work experience or an equivalent combination of education and experience Prior experience with operator in the loop real time Simulation Prior experience with Distributive Interactive Simulation (DIS) standards Prior experience with python Ability to manage multiple projects simultaneously Strong team mentality and willingness to contribute Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Total Rewards & Pay Transparency: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Associate: $90,100.00 - $121,900.00 Summary pay range for Experienced: $110,500.00 - $149,500.00 Applications for this position will be accepted until Sept. 08, 2025 Export Control Requirements: This position must meet export control compliance requirements. To meet export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Top Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Over the past 20 years, Amazon has reinvented on behalf of the consumer and has become one of the largest internet retailers in the world. Amazon is now reinventing on behalf of the business customer and is building the most innovative Business-to-Business (B2B) online store in the world. At Amazon Business, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech and retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations reimagine buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes, unlocking our potential worldwide. The Analytics Data Product & Tech (ADAPTech) team is a strategic partner to the WW Sales organization, playing a key role in driving sales productivity through three primary workstreams. First, the Analytics team provides data-driven insights and reporting tools to measure business, customer, and employee performance. Second, the Products and Science team develops transformative tools that help Account Executives (AEs) to prioritize accounts, recommend product features, and engage more effectively with customers. Finally, the Data Management and Governance teams ensure AEs have access to accurate and enriched customer information across our tools. We're seeking an Applied Scientist to join our team to improve the productivity and efficiency of AEs. You'll be part of expanding GenAI capabilities and scaling its impact across global markets. A successful Applied Scientist at Amazon demonstrates bias for action and operates in a startup environment, with leadership skills, and proven ability to build and manage medium-scale modeling projects, identify data requirements, build methodology and tools that are statistically grounded. We need great leaders to think big and design new solutions to solve complex problems using machine learning (ML) and Generative AI techniques to improve our customers' experience when using AB. You have hands-on experience making the right decisions about technology, models and methodology choices. Key job responsibilities As an Applied Scientist, you will primarily leverage machine learning techniques and generative AI to outreach customers based on their life cycle stage, behavioral patterns, and purchase history. You may also perform text mining and insight analysis of real-time customer conversations and make the model learn and recommend the solutions. Your work will directly impact the trust customers place in Amazon Business. You will partner with product management and technical leadership to identify opportunities to innovate customer journey experiences. You will identify new areas of investment and work to align product roadmaps to deliver on these opportunities. As a science leader, you will not only develop unique scientific solutions, but also play a crucial role in shaping strategies. Additional responsibilities include: -Design, implement, test, deploy and maintain innovative data and machine learning solutions to further the customer experience. -Create experiments and prototype implementations of new learning algorithms and prediction techniques -Develop algorithms for new capabilities and trace decisions in the data and assess how proposed changes could potentially impact business metrics to cater needs of Amazon Business Sales -Build models that measure incremental value, predict growth, define and conduct experiments to optimize engagement of AB customers, and communicate insights and recommendations to product, sales, and finance partners. A day in the life In this role, you will be a technical expert with significant scope and impact. You will work with Technical Product Managers, Data Engineers, other Scientists, and Salesforce developers, to build new and enhance existing ML models to optimize customer experience. You will prototype and test new ideas, iterate quickly, and deploy models to production. Also, you will conduct in-depth data analysis and feature engineering to build robust ML models. BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience with SQL, Python and Data Warehouse - Experience in building text/speech recognition, machine translation and natural language processing systems (e.g., emails, phone conversations) PREFERRED QUALIFICATIONS - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning - Experience working on personalisation, customer journey analysis and realtime chatbot interactions. - Experience building applications leveraging GenAI Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
09/03/2025
Full time
Over the past 20 years, Amazon has reinvented on behalf of the consumer and has become one of the largest internet retailers in the world. Amazon is now reinventing on behalf of the business customer and is building the most innovative Business-to-Business (B2B) online store in the world. At Amazon Business, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech and retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations reimagine buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes, unlocking our potential worldwide. The Analytics Data Product & Tech (ADAPTech) team is a strategic partner to the WW Sales organization, playing a key role in driving sales productivity through three primary workstreams. First, the Analytics team provides data-driven insights and reporting tools to measure business, customer, and employee performance. Second, the Products and Science team develops transformative tools that help Account Executives (AEs) to prioritize accounts, recommend product features, and engage more effectively with customers. Finally, the Data Management and Governance teams ensure AEs have access to accurate and enriched customer information across our tools. We're seeking an Applied Scientist to join our team to improve the productivity and efficiency of AEs. You'll be part of expanding GenAI capabilities and scaling its impact across global markets. A successful Applied Scientist at Amazon demonstrates bias for action and operates in a startup environment, with leadership skills, and proven ability to build and manage medium-scale modeling projects, identify data requirements, build methodology and tools that are statistically grounded. We need great leaders to think big and design new solutions to solve complex problems using machine learning (ML) and Generative AI techniques to improve our customers' experience when using AB. You have hands-on experience making the right decisions about technology, models and methodology choices. Key job responsibilities As an Applied Scientist, you will primarily leverage machine learning techniques and generative AI to outreach customers based on their life cycle stage, behavioral patterns, and purchase history. You may also perform text mining and insight analysis of real-time customer conversations and make the model learn and recommend the solutions. Your work will directly impact the trust customers place in Amazon Business. You will partner with product management and technical leadership to identify opportunities to innovate customer journey experiences. You will identify new areas of investment and work to align product roadmaps to deliver on these opportunities. As a science leader, you will not only develop unique scientific solutions, but also play a crucial role in shaping strategies. Additional responsibilities include: -Design, implement, test, deploy and maintain innovative data and machine learning solutions to further the customer experience. -Create experiments and prototype implementations of new learning algorithms and prediction techniques -Develop algorithms for new capabilities and trace decisions in the data and assess how proposed changes could potentially impact business metrics to cater needs of Amazon Business Sales -Build models that measure incremental value, predict growth, define and conduct experiments to optimize engagement of AB customers, and communicate insights and recommendations to product, sales, and finance partners. A day in the life In this role, you will be a technical expert with significant scope and impact. You will work with Technical Product Managers, Data Engineers, other Scientists, and Salesforce developers, to build new and enhance existing ML models to optimize customer experience. You will prototype and test new ideas, iterate quickly, and deploy models to production. Also, you will conduct in-depth data analysis and feature engineering to build robust ML models. BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience with SQL, Python and Data Warehouse - Experience in building text/speech recognition, machine translation and natural language processing systems (e.g., emails, phone conversations) PREFERRED QUALIFICATIONS - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning - Experience working on personalisation, customer journey analysis and realtime chatbot interactions. - Experience building applications leveraging GenAI Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Amazon Science gives you insight into the company's approach to customer focused scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It's the company's ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work. Please visit for more information. Are you an expert in Natural Language Processing (NLP) and Large Language Models (LLM)? Are you interested in building Agentic AI solutions on complex business problems that have significant global benefit. The Brand Protection team designs and builds high performance AI systems using LLM and machine learning that identify and prevent abuse and counterfeit on behalf of brand owners worldwide. We are looking for a highly talented scientist to help build of our vision for agent-based intellegent automation. As a senior applied scientist on the team, you will use NLP and LLM techniques to built automated AI solutions that thinks like human to assist decision making and eventually make autonomous decisions that impacts millions of brands, selling partners and customers. You will work backwards from data insights and customer feedback to build the right machine learning solutions, collaborate with other domain experts in finding innovative solutions to unsolved problems. You will work closely will product team and engineering partners to launch the solution into production and owning the end-to-end solution. An ideal candidate should have extensive experience driving large-scale Machine Learning initiatives, specially in GenAI and LLM applications, from conception to launch in a rapidly evolving environment. Amazon's growth requires leaders who move fast, have an entrepreneurial spirit to create new solutions, have an unrelenting tenacity to get things done, and are capable of breaking down and solving complex problems. Major responsibilities: - Understand business challenges by analyzing data and customer feedback - Collaborate with tech and product teams on building ML strategies, experimentation, implementation and continuous improvement - Analyze and extract relevant information from large amounts of both structured and unstructured data to design strategies to solve business problems. - Use NLP, LLM and machine learning techniques to create scalable solutions for business problems - Create business and analytics reports and present to the senior management teams - Research and implement novel AI solutions and publish research papers About the team Here at Selling Partner Services, we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups, reaching 10,000+ employees in chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our DEI Ambassador Program. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. BASIC QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 4+ years of building machine learning models or developing algorithms for business application experience - 3+ years of building machine learning models for business application experience - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - Experience with neural deep learning methods and machine learning - Experience programming in Java, C++, Python or related language - PhD, or Master's degree and 6+ years of applied research experience - 5+ years of applied research experience PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
09/03/2025
Full time
Amazon Science gives you insight into the company's approach to customer focused scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It's the company's ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work. Please visit for more information. Are you an expert in Natural Language Processing (NLP) and Large Language Models (LLM)? Are you interested in building Agentic AI solutions on complex business problems that have significant global benefit. The Brand Protection team designs and builds high performance AI systems using LLM and machine learning that identify and prevent abuse and counterfeit on behalf of brand owners worldwide. We are looking for a highly talented scientist to help build of our vision for agent-based intellegent automation. As a senior applied scientist on the team, you will use NLP and LLM techniques to built automated AI solutions that thinks like human to assist decision making and eventually make autonomous decisions that impacts millions of brands, selling partners and customers. You will work backwards from data insights and customer feedback to build the right machine learning solutions, collaborate with other domain experts in finding innovative solutions to unsolved problems. You will work closely will product team and engineering partners to launch the solution into production and owning the end-to-end solution. An ideal candidate should have extensive experience driving large-scale Machine Learning initiatives, specially in GenAI and LLM applications, from conception to launch in a rapidly evolving environment. Amazon's growth requires leaders who move fast, have an entrepreneurial spirit to create new solutions, have an unrelenting tenacity to get things done, and are capable of breaking down and solving complex problems. Major responsibilities: - Understand business challenges by analyzing data and customer feedback - Collaborate with tech and product teams on building ML strategies, experimentation, implementation and continuous improvement - Analyze and extract relevant information from large amounts of both structured and unstructured data to design strategies to solve business problems. - Use NLP, LLM and machine learning techniques to create scalable solutions for business problems - Create business and analytics reports and present to the senior management teams - Research and implement novel AI solutions and publish research papers About the team Here at Selling Partner Services, we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups, reaching 10,000+ employees in chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our DEI Ambassador Program. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. BASIC QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 4+ years of building machine learning models or developing algorithms for business application experience - 3+ years of building machine learning models for business application experience - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - Experience with neural deep learning methods and machine learning - Experience programming in Java, C++, Python or related language - PhD, or Master's degree and 6+ years of applied research experience - 5+ years of applied research experience PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Customers love discovering what is trending, esp. shopping in categories like fashion where customers are looking for inspiration and fashionable styles. Trending products spark curiosity, build confidence, and reassure them they're making smart choices. Highlighting these trending items and brands on Amazon not only satisfies their desire to stay current but also enhances the overall shopping experience, driving deeper engagement. This newly formed charter in North America Store (NAS) focuses on developing various LLM and ML-driven trend signals (e.g. vital trends, fashionable trending styles, seasonable trends, locale trends, sports or events/holiday trends, niche and trending brands) and solutions leveraging both Amazon internal and external world knowledge to help customers easily discover trending brands and products on Amazon, and enable us to surface these high-interest products in real time and empower any team across Amazon to tap into this intelligence for their specific use cases. In addition, we're in this early stage of exploring exciting opportunities to build AI agents to provide marketing and other clients trend insights to assist clients making the right business decisions. We're looking for a lead Sr. Applied Scientist who can play the thought leadership role for this ML-focused Trends program as well as collaborating with Product leaders, engineering teams and other scientists to deliver scalable solutions with large business and customer impact. Key job responsibilities - Lead complex projects that design and build LLM and ML solutions identifying trending themes and recommendations, as well as AI agents to provide trends insights. - Collaborate with own and partner teams on customer-facing experiences that will utilize the data and ML models to better serve customers discovery needs on trending products and brands. - Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management. - Drive continued scientific innovation as a thought leader and practitioner. - Provide technical and career development guidance to scientists and engineers in the organization. About the team This newly formed charter in North America Store (NAS) focuses on developing various LLM and ML-driven trend signals (e.g. vital trends, fashionable trending styles, seasonable trends, locale trends, sports or events/holiday trends, niche and trending brands) and solutions leveraging both Amazon internal and external world knowledge to help customers easily discover trending brands and products on Amazon, and enable us to surface these high-interest products in real time and empower any team across Amazon to tap into this intelligence for their specific use cases. In addition, we're in this early stage of exploring exciting opportunities to build AI agents to provide marketing and other clients trend insights to assist clients making the right business decisions. BASIC QUALIFICATIONS - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
09/03/2025
Full time
Customers love discovering what is trending, esp. shopping in categories like fashion where customers are looking for inspiration and fashionable styles. Trending products spark curiosity, build confidence, and reassure them they're making smart choices. Highlighting these trending items and brands on Amazon not only satisfies their desire to stay current but also enhances the overall shopping experience, driving deeper engagement. This newly formed charter in North America Store (NAS) focuses on developing various LLM and ML-driven trend signals (e.g. vital trends, fashionable trending styles, seasonable trends, locale trends, sports or events/holiday trends, niche and trending brands) and solutions leveraging both Amazon internal and external world knowledge to help customers easily discover trending brands and products on Amazon, and enable us to surface these high-interest products in real time and empower any team across Amazon to tap into this intelligence for their specific use cases. In addition, we're in this early stage of exploring exciting opportunities to build AI agents to provide marketing and other clients trend insights to assist clients making the right business decisions. We're looking for a lead Sr. Applied Scientist who can play the thought leadership role for this ML-focused Trends program as well as collaborating with Product leaders, engineering teams and other scientists to deliver scalable solutions with large business and customer impact. Key job responsibilities - Lead complex projects that design and build LLM and ML solutions identifying trending themes and recommendations, as well as AI agents to provide trends insights. - Collaborate with own and partner teams on customer-facing experiences that will utilize the data and ML models to better serve customers discovery needs on trending products and brands. - Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management. - Drive continued scientific innovation as a thought leader and practitioner. - Provide technical and career development guidance to scientists and engineers in the organization. About the team This newly formed charter in North America Store (NAS) focuses on developing various LLM and ML-driven trend signals (e.g. vital trends, fashionable trending styles, seasonable trends, locale trends, sports or events/holiday trends, niche and trending brands) and solutions leveraging both Amazon internal and external world knowledge to help customers easily discover trending brands and products on Amazon, and enable us to surface these high-interest products in real time and empower any team across Amazon to tap into this intelligence for their specific use cases. In addition, we're in this early stage of exploring exciting opportunities to build AI agents to provide marketing and other clients trend insights to assist clients making the right business decisions. BASIC QUALIFICATIONS - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is looking for a Senior Software Engineer - Simulation to join the Virtual Warfare Center Constructive Software Engineering team located in Berkeley, Missouri. This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. The Virtual Warfare Center (VWC) Software Engineering Environment Architect will lead a team of engineers in the architecture, design, development, maintenance and integration of a simulation toolset used in large scale virtual simulation experiments. The primary toolset is the Advanced Framework for Simulation, Integration and Modeling (AFSIM) with Boeing Extensions (ABX). The experiments run using a suite of simulations, components, tools and interface that constitute Operator in the Loop (OITL) real time simulation experiments at the VWC. This position requires knowledge of Distributive Interactive Simulation (DIS) standards. This engineer will work with a long-standing customer to meet all contracted software requirements. This position requires the Software Lead to coordinate all software development activities, to include requirements gathering, analysis, planning and development of a technology roadmap as well as software architecture, development and testing. This lead will be responsible for developing innovative approaches to meeting multiple customers' needs and integrating industry partners' simulations into the large-scale virtual test environment. The selected candidate will build and maintain close relationships with multiple software development teams, operations analyst teams, and customer and industry partners in order to ensure timely completion of contractual commitments. The selected individual will mentor and coach early-career employees on software development, integration, testing and project leadership skills. Position Responsibilities: Oversees the design, architecture, and development of simulation models, simulation visualizations, virtual environments/platforms and frameworks to enhance test performance, safety, and durability of software and hardware systems throughout the entire product lifecycle. Partners with stakeholders to advise on the review and identification of simulation requirements and dynamics of the systems being simulated. Oversees the design, modeling, simulation, testing, and analysis to assess and optimize overall system performance and capabilities. Reviews data collection and processing for use in simulations. Oversees validation, verification, and refinement of simulation software code, models, simulations, test procedures and test environments, executing test procedures, documenting test results and modeling against real-world data, test data, benchmarks, or other similar models. Reviews the documentation and maintenance of technical code, algorithms, specifications and descriptions of simulation models. Partners with cross functional engineering teams to advise on integration of simulation software with hardware devices and systems. Oversees implementing current and emerging technologies, tools, frameworks, and methods in the software engineering simulation environment. Oversees modernizing, migrating, sustaining, and updating simulation software to adapt legacy systems to new operating systems. Oversees simulation software project management functions. Advises management and influences internal practices on a wide range of topics related to the software engineering simulation environments. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. Basic Qualifications (Required Skills/ Experience): Active U.S. Top Secret Security Clearance . 1 0+ years of experience in C++ 10+ years of experience in integrating complex applications on Windows and Linux platforms 10+ years of experience with AFNES/AFSIM simulation framework, including designing and developing enhancements 10+ years of academic or practical experience do you have in aerodynamics, Guidance and Control (G&C), sensor modeling, DIS/HLA (Distributed Interactive Simulation (DIS) and High-Level Architecture (HLA), electronic warfare, and/or communications systems 10+ years of experience in leading or managing a technical project or team Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 10+ years of experience in integrating complex applications on Linux platforms including software design, development, debugging, and test 10+ years of experience i n operator in the loop real time simulation, AFSIM, DIS 10+ years of experience in customer facing positions, leading a project or technical team, security posture in proprietary areas, managing multiple simultaneous projects Experience with allocat ing requirements (e.g., system, sub-system, software) and show ing traceability throughout the product lifecycle. Experience design ing , develop ing , integrat ing , apply ing , and test ing software models, simulations, framework environments, tools, and applications with higher order programming languages, assembly, and auto-code. Experience perform ing Application Programming Interface (API) design , implementation, and testing. Experience in real-time software architecture and design methodologies to synthesize models and simulation frameworks that meet real-time requirements; this includes knowledge of real-time target environments, its processor and network architecture, communication protocols, and electrical interfaces. Experience in software architecture and design methodologies. Experience s ynthesiz ing software architectures and designs that meet requirements, characteristics and constraints. Experience with build ing and execut ing environments that include hosts, processors, operating systems, and networks. Experience build ing , integrat ing , test ing , and troubleshoot ing software components comprisin g simulation models and build/execution frameworks. Experience in verification, validation, certification, and qualification processes. Experience in 2D and/or 3D computer graphics to generate data representation and to communicate information. Experience with build ing animated graphics graphic simulations simulating how systems work. Experience with visual analytics tools and research. Experience with familiarity with algorithms for image processing. Experience with multiple programming languages and operating systems to develop prototypes in this technology area. Experience with integrat ing hardware and software components into demonstrations. Experience with design ing and develop ing software testing processes for different units, modules or components of a software application as a combined and integrated entity. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Total Rewards & Pay Transparency: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Senior Level : $ 161,500 - $218,500 Applications for this position will be accepted until Sept. 09, 2025 Export Control Requirements: This is not an Export Control position. Relocation This position offers relocation based on candidate eligibility. Security Clearance . click apply for full job details
09/02/2025
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is looking for a Senior Software Engineer - Simulation to join the Virtual Warfare Center Constructive Software Engineering team located in Berkeley, Missouri. This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. The Virtual Warfare Center (VWC) Software Engineering Environment Architect will lead a team of engineers in the architecture, design, development, maintenance and integration of a simulation toolset used in large scale virtual simulation experiments. The primary toolset is the Advanced Framework for Simulation, Integration and Modeling (AFSIM) with Boeing Extensions (ABX). The experiments run using a suite of simulations, components, tools and interface that constitute Operator in the Loop (OITL) real time simulation experiments at the VWC. This position requires knowledge of Distributive Interactive Simulation (DIS) standards. This engineer will work with a long-standing customer to meet all contracted software requirements. This position requires the Software Lead to coordinate all software development activities, to include requirements gathering, analysis, planning and development of a technology roadmap as well as software architecture, development and testing. This lead will be responsible for developing innovative approaches to meeting multiple customers' needs and integrating industry partners' simulations into the large-scale virtual test environment. The selected candidate will build and maintain close relationships with multiple software development teams, operations analyst teams, and customer and industry partners in order to ensure timely completion of contractual commitments. The selected individual will mentor and coach early-career employees on software development, integration, testing and project leadership skills. Position Responsibilities: Oversees the design, architecture, and development of simulation models, simulation visualizations, virtual environments/platforms and frameworks to enhance test performance, safety, and durability of software and hardware systems throughout the entire product lifecycle. Partners with stakeholders to advise on the review and identification of simulation requirements and dynamics of the systems being simulated. Oversees the design, modeling, simulation, testing, and analysis to assess and optimize overall system performance and capabilities. Reviews data collection and processing for use in simulations. Oversees validation, verification, and refinement of simulation software code, models, simulations, test procedures and test environments, executing test procedures, documenting test results and modeling against real-world data, test data, benchmarks, or other similar models. Reviews the documentation and maintenance of technical code, algorithms, specifications and descriptions of simulation models. Partners with cross functional engineering teams to advise on integration of simulation software with hardware devices and systems. Oversees implementing current and emerging technologies, tools, frameworks, and methods in the software engineering simulation environment. Oversees modernizing, migrating, sustaining, and updating simulation software to adapt legacy systems to new operating systems. Oversees simulation software project management functions. Advises management and influences internal practices on a wide range of topics related to the software engineering simulation environments. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. Basic Qualifications (Required Skills/ Experience): Active U.S. Top Secret Security Clearance . 1 0+ years of experience in C++ 10+ years of experience in integrating complex applications on Windows and Linux platforms 10+ years of experience with AFNES/AFSIM simulation framework, including designing and developing enhancements 10+ years of academic or practical experience do you have in aerodynamics, Guidance and Control (G&C), sensor modeling, DIS/HLA (Distributed Interactive Simulation (DIS) and High-Level Architecture (HLA), electronic warfare, and/or communications systems 10+ years of experience in leading or managing a technical project or team Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 10+ years of experience in integrating complex applications on Linux platforms including software design, development, debugging, and test 10+ years of experience i n operator in the loop real time simulation, AFSIM, DIS 10+ years of experience in customer facing positions, leading a project or technical team, security posture in proprietary areas, managing multiple simultaneous projects Experience with allocat ing requirements (e.g., system, sub-system, software) and show ing traceability throughout the product lifecycle. Experience design ing , develop ing , integrat ing , apply ing , and test ing software models, simulations, framework environments, tools, and applications with higher order programming languages, assembly, and auto-code. Experience perform ing Application Programming Interface (API) design , implementation, and testing. Experience in real-time software architecture and design methodologies to synthesize models and simulation frameworks that meet real-time requirements; this includes knowledge of real-time target environments, its processor and network architecture, communication protocols, and electrical interfaces. Experience in software architecture and design methodologies. Experience s ynthesiz ing software architectures and designs that meet requirements, characteristics and constraints. Experience with build ing and execut ing environments that include hosts, processors, operating systems, and networks. Experience build ing , integrat ing , test ing , and troubleshoot ing software components comprisin g simulation models and build/execution frameworks. Experience in verification, validation, certification, and qualification processes. Experience in 2D and/or 3D computer graphics to generate data representation and to communicate information. Experience with build ing animated graphics graphic simulations simulating how systems work. Experience with visual analytics tools and research. Experience with familiarity with algorithms for image processing. Experience with multiple programming languages and operating systems to develop prototypes in this technology area. Experience with integrat ing hardware and software components into demonstrations. Experience with design ing and develop ing software testing processes for different units, modules or components of a software application as a combined and integrated entity. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Total Rewards & Pay Transparency: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Senior Level : $ 161,500 - $218,500 Applications for this position will be accepted until Sept. 09, 2025 Export Control Requirements: This is not an Export Control position. Relocation This position offers relocation based on candidate eligibility. Security Clearance . click apply for full job details
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Integrated Advanced Systems (IAS) team in Phantom Works is looking for a Senior Electronic Design Engineer to join our team to work on a variety of activities related to advanced mission systems in Berkeley, Missouri. As a Senior Electronic Design Engineer, you will be part of a team working on the development of a Software Defined Radio (SDR). You will have the opportunity to lead the embedded software development, implementation of Big Iron open architecture standards, and test of products as they move through their development lifecycle. There will also be tasks related to evaluation of effectiveness of varies mission systems technologies installed on a variety of platforms to assist with technology development and EW system evaluations along with the assisting with writing proposals for new business. Here in Phantom Works, our job is to transform technologies (both existing and new) into new and innovative products for our customers. Serve as the lead for the embedded software implementation on the team's SDR Effectively work on a diverse team that partners with customers both internal to Boeing as well as external. A willingness to learn. We're a team with lots of domain experts to learn from. You will also interact with engineers in multiple disciplines outside of electrical engineering. Apply general knowledge of electronic/electrical systems or subsystems and components including operating principles, design variables, performance, and key interfaces. Occasional travel may be required (10% of the time) Position Responsibilities: Develops and validates requirements for various complex communication, sensor, electronic warfare and other electromagnetic systems and components. Develops and validates electromagnetic requirements for electricalelectronic systems, mechanical systems, interconnects and structures. Develops architectures to integrate complex systems and components into higher level systems and platforms. Performs complicated trade studies, modeling, simulation and other forms of analysis to predict component, interconnects and system performance and to optimize design around established requirements. Defines and conducts critical tests of various kinds to validate performance of designs to requirements. Manages appropriate aspects of critical supplier and partner performance to ensure compliance to requirements. Provides support to products throughout their lifecycle from manufacturing to customer use by providing guidance and support to resolve complex issues. Supports project management by providing coordinating development of work statement, budget, schedule and other required inputs and conducting appropriate reviews. Generates major sections of proposals to support development of new business. Works under minimal direction. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Basic Qualifications Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 9+ years of work related experience with a Bachelor's OR 7+ years with a master's OR 3+ years with a PhD Experience programming in C/C++ Experience programming in Python Experience with Kubernetes or other containerization technologies Experience with message patters or transport technologies (ZMQ, Apache MQ, etc.) Experience with embedded systems development Preferred Qualifications Experience working with EW systems Experience working with RF hardware/subsystems Experience with Open Architectures, especially Big Iron Experience developing on Linux environments Typical Education & Experience 9+ years of work-related experience with a Bachelors degree OR 7+ years of work-related experience with a Masters OR 3+ years of work-related experience with a PhD In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Relocation: This position offers relocation based on candidate eligibility. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Shift: This position is for 1st shift. At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $ 118,150 - $159,850 Applications for this position will be accepted until Sept. 09, 2025 Export Control Requirements: This position must meet export control compliance requirements. To meet export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
09/02/2025
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Integrated Advanced Systems (IAS) team in Phantom Works is looking for a Senior Electronic Design Engineer to join our team to work on a variety of activities related to advanced mission systems in Berkeley, Missouri. As a Senior Electronic Design Engineer, you will be part of a team working on the development of a Software Defined Radio (SDR). You will have the opportunity to lead the embedded software development, implementation of Big Iron open architecture standards, and test of products as they move through their development lifecycle. There will also be tasks related to evaluation of effectiveness of varies mission systems technologies installed on a variety of platforms to assist with technology development and EW system evaluations along with the assisting with writing proposals for new business. Here in Phantom Works, our job is to transform technologies (both existing and new) into new and innovative products for our customers. Serve as the lead for the embedded software implementation on the team's SDR Effectively work on a diverse team that partners with customers both internal to Boeing as well as external. A willingness to learn. We're a team with lots of domain experts to learn from. You will also interact with engineers in multiple disciplines outside of electrical engineering. Apply general knowledge of electronic/electrical systems or subsystems and components including operating principles, design variables, performance, and key interfaces. Occasional travel may be required (10% of the time) Position Responsibilities: Develops and validates requirements for various complex communication, sensor, electronic warfare and other electromagnetic systems and components. Develops and validates electromagnetic requirements for electricalelectronic systems, mechanical systems, interconnects and structures. Develops architectures to integrate complex systems and components into higher level systems and platforms. Performs complicated trade studies, modeling, simulation and other forms of analysis to predict component, interconnects and system performance and to optimize design around established requirements. Defines and conducts critical tests of various kinds to validate performance of designs to requirements. Manages appropriate aspects of critical supplier and partner performance to ensure compliance to requirements. Provides support to products throughout their lifecycle from manufacturing to customer use by providing guidance and support to resolve complex issues. Supports project management by providing coordinating development of work statement, budget, schedule and other required inputs and conducting appropriate reviews. Generates major sections of proposals to support development of new business. Works under minimal direction. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Basic Qualifications Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 9+ years of work related experience with a Bachelor's OR 7+ years with a master's OR 3+ years with a PhD Experience programming in C/C++ Experience programming in Python Experience with Kubernetes or other containerization technologies Experience with message patters or transport technologies (ZMQ, Apache MQ, etc.) Experience with embedded systems development Preferred Qualifications Experience working with EW systems Experience working with RF hardware/subsystems Experience with Open Architectures, especially Big Iron Experience developing on Linux environments Typical Education & Experience 9+ years of work-related experience with a Bachelors degree OR 7+ years of work-related experience with a Masters OR 3+ years of work-related experience with a PhD In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Relocation: This position offers relocation based on candidate eligibility. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Shift: This position is for 1st shift. At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $ 118,150 - $159,850 Applications for this position will be accepted until Sept. 09, 2025 Export Control Requirements: This position must meet export control compliance requirements. To meet export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Senior Quantitative Analyst - Home Price Modeling Location New York Business Area Engineering and CTO Ref # Description & Requirements The Bloomberg Structured Products team is responsible for all data, cash flows and analytics for the two million plus bonds that comprise the structured products universe. We own some of Bloomberg's largest databases, highest hit services, most comprehensive cash flow model libraries, and most complex analytic tools and valuation screens. Our products support Bloomberg's industry leading fixed income indices, security valuation services, portfolio management and trading platforms, as well as the daily workflow of countless traders, portfolio managers and research analysts. Who we are The Bloomberg Structured Products Quantitative Research Team We are an enthusiastic, talented team of quants who work side by side with product managers, engineers, and sales to create high impact valuation, surveillance and risk management tools for both internal and external clients. Our teams develop models that forecast cash flows for a variety of Agency, Non-Agency and ABS securities, produce valuation metrics used to determine relative value, and develop risk analytics used to quantify market risk for hedging and return attribution. We strive to create best-in-class prepayment/credit models for the US Agency MBS/CMBS, US Residential Non-Agency, Credit Risk Transfer (CRT), Mortgage Insurance, HELOC/HEL, Auto ABS and Japanese MBS markets. We also develop the home price and interest rate models that help power our prepayment and credit models. Our models are developed in conjunction with a comprehensive suite of daily analytics reports, model surveillance reports, whitepapers, specified pool cohorts, and valuation tools. We aim to provide timely model updates that incorporate the latest prepayment and credit data, stay in sync with evolving market developments and expand model coverage for new product types, while allowing clients the ability to fully customize their user experience with a comprehensive and intuitive set of model overrides. We strive to continually improve our valuation and surveillance platform by maintaining an ongoing, open dialogue with the entire community of traders, portfolio managers, regulators, research analysts and mortgage agencies that incorporate our models into their daily workflow as well as internal partners such as Index/PORT, BVAL, MARS, NEWS and BI. Our current Agency MBS projects include the development of a loan-level agency prepayment model and a new prepayment model for the GNMA project loan sector. Our current residential credit projects include the development of a new prepay/credit model for securities backed by home equity lines of credit (HELOC) and home equity loans (HEL), and expanding multipath OAS coverage for existing sectors through BTM model service enhancements. Other projects include updates to our mortgage rate models and the development of a new home price model. Who you are An innovative quantitative research analyst with a strong interest in financial markets. Someone who cares about the impact of their work and enjoys working with large datasets, conducting regression analysis, building analytic valuation tools, and supporting our clients. You enjoy collaborating and working closely with other people. You're a problem solver, eager to learn, and have a strong interest in the structured products domain. As part of this team, we'll trust you to Work collaboratively with team members to develop a new US regional home price model for use in valuing mortgage-backed securities Create analytical tools and reports that help clients track model performance, quantify market risk, and assess relative value Contribute to whitepapers, published reports, and webinars Help the team evolve and operate on a day-to-day basis You'll need to have Strong quantitative experience within the US housing markets with a focus on home price modeling 4+ years of professional experience building and maintaining home price models used to value mortgage-backed securities. Strong quantitative, analytical and problem solving skills Experience working with large data sets and conducting regression analysis Proficiency in SAS or equivalent, Excel, Linux/windows environments Excellent verbal and written communication and interpersonal skills BA/BS in Mathematics, Statistics, Economics, or other quantitative field We'd love to see MS or PhD in Mathematics, Statistics, Economics, or other quantitative field A passion for financial markets Salary Range = 155000 - 285000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
09/02/2025
Full time
Senior Quantitative Analyst - Home Price Modeling Location New York Business Area Engineering and CTO Ref # Description & Requirements The Bloomberg Structured Products team is responsible for all data, cash flows and analytics for the two million plus bonds that comprise the structured products universe. We own some of Bloomberg's largest databases, highest hit services, most comprehensive cash flow model libraries, and most complex analytic tools and valuation screens. Our products support Bloomberg's industry leading fixed income indices, security valuation services, portfolio management and trading platforms, as well as the daily workflow of countless traders, portfolio managers and research analysts. Who we are The Bloomberg Structured Products Quantitative Research Team We are an enthusiastic, talented team of quants who work side by side with product managers, engineers, and sales to create high impact valuation, surveillance and risk management tools for both internal and external clients. Our teams develop models that forecast cash flows for a variety of Agency, Non-Agency and ABS securities, produce valuation metrics used to determine relative value, and develop risk analytics used to quantify market risk for hedging and return attribution. We strive to create best-in-class prepayment/credit models for the US Agency MBS/CMBS, US Residential Non-Agency, Credit Risk Transfer (CRT), Mortgage Insurance, HELOC/HEL, Auto ABS and Japanese MBS markets. We also develop the home price and interest rate models that help power our prepayment and credit models. Our models are developed in conjunction with a comprehensive suite of daily analytics reports, model surveillance reports, whitepapers, specified pool cohorts, and valuation tools. We aim to provide timely model updates that incorporate the latest prepayment and credit data, stay in sync with evolving market developments and expand model coverage for new product types, while allowing clients the ability to fully customize their user experience with a comprehensive and intuitive set of model overrides. We strive to continually improve our valuation and surveillance platform by maintaining an ongoing, open dialogue with the entire community of traders, portfolio managers, regulators, research analysts and mortgage agencies that incorporate our models into their daily workflow as well as internal partners such as Index/PORT, BVAL, MARS, NEWS and BI. Our current Agency MBS projects include the development of a loan-level agency prepayment model and a new prepayment model for the GNMA project loan sector. Our current residential credit projects include the development of a new prepay/credit model for securities backed by home equity lines of credit (HELOC) and home equity loans (HEL), and expanding multipath OAS coverage for existing sectors through BTM model service enhancements. Other projects include updates to our mortgage rate models and the development of a new home price model. Who you are An innovative quantitative research analyst with a strong interest in financial markets. Someone who cares about the impact of their work and enjoys working with large datasets, conducting regression analysis, building analytic valuation tools, and supporting our clients. You enjoy collaborating and working closely with other people. You're a problem solver, eager to learn, and have a strong interest in the structured products domain. As part of this team, we'll trust you to Work collaboratively with team members to develop a new US regional home price model for use in valuing mortgage-backed securities Create analytical tools and reports that help clients track model performance, quantify market risk, and assess relative value Contribute to whitepapers, published reports, and webinars Help the team evolve and operate on a day-to-day basis You'll need to have Strong quantitative experience within the US housing markets with a focus on home price modeling 4+ years of professional experience building and maintaining home price models used to value mortgage-backed securities. Strong quantitative, analytical and problem solving skills Experience working with large data sets and conducting regression analysis Proficiency in SAS or equivalent, Excel, Linux/windows environments Excellent verbal and written communication and interpersonal skills BA/BS in Mathematics, Statistics, Economics, or other quantitative field We'd love to see MS or PhD in Mathematics, Statistics, Economics, or other quantitative field A passion for financial markets Salary Range = 155000 - 285000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Constellation Software Engineering
El Segundo, California
Risk Manager Immediate Opportunity Onsite CSEngineering is looking to add a Risk Manager to our growing team! REQUIRED CERTIFICATIONS AND QUALIFICATIONS Security Clearance: TS/SCI clearance Education: Bachelor's degree in engineering (Aerospace, Systems, Electrical, Mechanical, or related field) is required. Systems Engineering Expertise: Minimum of 5-7 years of experience in systems engineering, with a focus on complex systems, preferably within the space industry. Experience with System of Systems (SoS) engineering principles is highly desirable. Demonstrated experience in risk management processes and techniques is essential. Strong understanding of the systems engineering lifecycle (requirements definition, design, development, integration, testing, verification, validation, and operations). Experience with systems engineering methodologies (e.g., Agile, Model-Based Systems Engineering (MBSE . Proficiency in developing and maintaining system architectures, requirements documents, interface control documents (ICDs), and other technical documentation. System of Systems (SoS) Engineering: Familiarity with SoS concepts, architectures, and challenges. Experience in integrating heterogeneous systems and managing interdependencies. Understanding of emergent behaviour and SoS-specific risks. Risk Management: Proficiency in risk identification, assessment, mitigation, and monitoring. Experience with risk management frameworks and tools (e.g., ISO 31000). Ability to develop and implement risk management plans and strategies. Knowledge of qualitative and quantitative risk analysis techniques. Space Systems Knowledge: Familiarity with space systems architecture, including spacecraft, launch vehicles, ground systems, and communication networks. Understanding of space environment effects on systems. Knowledge of relevant industry standards (e.g., NASA, MIL-STD, ISO). Modeling & Simulation: Experience with modeling and simulation tools for system analysis and performance evaluation. Ability to develop and use models to assess system behaviour and identify potential risks. Software & Tools: Familiarity with project management software (e.g., Microsoft Project, Jira, Warp Core). Knowledge of configuration management tools. Certifications: Relevant certifications (e.g., INCOSE Certified Systems Engineering Professional (CSEP), Project Management Professional (PMP can be a plus. Additional Qualifications A Master's degree in Aerospace, Systems, Electrical, Mechanical, or related field Communication: Excellent written and verbal communication skills. Ability to clearly and effectively communicate technical information to both technical and non-technical audiences. Problem-Solving: Strong analytical and problem-solving skills. Ability to identify and resolve complex technical issues. Teamwork: Ability to work effectively in a team environment. Leadership: Leadership skills, including the ability to lead technical teams and deliver executive level technical briefings Critical Thinking: Ability to think critically and challenge assumptions. Decision-Making: Ability to make sound decisions based on data and analysis. Organization & Time Management: Ability to manage multiple tasks and priorities effectively. Location: Los Angeles AFB - El Segundo, CA COMPANY OVERVIEW Who we are- CSEngineering, a Service-Disabled Veteran-owned small business established in 2002, is dedicated to becoming the premier engineering and services firm in our industry, all while prioritizing client satisfaction above all else. What we do- With a rich history of excellence, we boast significant expertise in a wide array of areas, including satellite systems, weapons and missile systems, naval architecture, aviation systems, IT and Enterprise Architecture, and more. We offer a comprehensive range of services, including logistics, program management, and IT operations. As a recipient of the Hire Vets Gold Medallion award, we're proud of our commitment to veteran hiring, retention, and professional development. Why should you be a part of CSE- At CSEngineering, our employees are at the heart of everything we do. We foster a culture of passion and growth, where individuals are encouraged to excel build fulfilling careers, and continually strive for excellence. Our dedication to innovation and excellence propels us forward, as we continuously strive to set new standards in our industry. Join us and be part of a team that's redefining what's possible. CSE offers a competitive salary and comprehensive benefits package, including medical, dental, life, disability, 401k, and paid time off. CSE is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity and veteran status.
09/02/2025
Full time
Risk Manager Immediate Opportunity Onsite CSEngineering is looking to add a Risk Manager to our growing team! REQUIRED CERTIFICATIONS AND QUALIFICATIONS Security Clearance: TS/SCI clearance Education: Bachelor's degree in engineering (Aerospace, Systems, Electrical, Mechanical, or related field) is required. Systems Engineering Expertise: Minimum of 5-7 years of experience in systems engineering, with a focus on complex systems, preferably within the space industry. Experience with System of Systems (SoS) engineering principles is highly desirable. Demonstrated experience in risk management processes and techniques is essential. Strong understanding of the systems engineering lifecycle (requirements definition, design, development, integration, testing, verification, validation, and operations). Experience with systems engineering methodologies (e.g., Agile, Model-Based Systems Engineering (MBSE . Proficiency in developing and maintaining system architectures, requirements documents, interface control documents (ICDs), and other technical documentation. System of Systems (SoS) Engineering: Familiarity with SoS concepts, architectures, and challenges. Experience in integrating heterogeneous systems and managing interdependencies. Understanding of emergent behaviour and SoS-specific risks. Risk Management: Proficiency in risk identification, assessment, mitigation, and monitoring. Experience with risk management frameworks and tools (e.g., ISO 31000). Ability to develop and implement risk management plans and strategies. Knowledge of qualitative and quantitative risk analysis techniques. Space Systems Knowledge: Familiarity with space systems architecture, including spacecraft, launch vehicles, ground systems, and communication networks. Understanding of space environment effects on systems. Knowledge of relevant industry standards (e.g., NASA, MIL-STD, ISO). Modeling & Simulation: Experience with modeling and simulation tools for system analysis and performance evaluation. Ability to develop and use models to assess system behaviour and identify potential risks. Software & Tools: Familiarity with project management software (e.g., Microsoft Project, Jira, Warp Core). Knowledge of configuration management tools. Certifications: Relevant certifications (e.g., INCOSE Certified Systems Engineering Professional (CSEP), Project Management Professional (PMP can be a plus. Additional Qualifications A Master's degree in Aerospace, Systems, Electrical, Mechanical, or related field Communication: Excellent written and verbal communication skills. Ability to clearly and effectively communicate technical information to both technical and non-technical audiences. Problem-Solving: Strong analytical and problem-solving skills. Ability to identify and resolve complex technical issues. Teamwork: Ability to work effectively in a team environment. Leadership: Leadership skills, including the ability to lead technical teams and deliver executive level technical briefings Critical Thinking: Ability to think critically and challenge assumptions. Decision-Making: Ability to make sound decisions based on data and analysis. Organization & Time Management: Ability to manage multiple tasks and priorities effectively. Location: Los Angeles AFB - El Segundo, CA COMPANY OVERVIEW Who we are- CSEngineering, a Service-Disabled Veteran-owned small business established in 2002, is dedicated to becoming the premier engineering and services firm in our industry, all while prioritizing client satisfaction above all else. What we do- With a rich history of excellence, we boast significant expertise in a wide array of areas, including satellite systems, weapons and missile systems, naval architecture, aviation systems, IT and Enterprise Architecture, and more. We offer a comprehensive range of services, including logistics, program management, and IT operations. As a recipient of the Hire Vets Gold Medallion award, we're proud of our commitment to veteran hiring, retention, and professional development. Why should you be a part of CSE- At CSEngineering, our employees are at the heart of everything we do. We foster a culture of passion and growth, where individuals are encouraged to excel build fulfilling careers, and continually strive for excellence. Our dedication to innovation and excellence propels us forward, as we continuously strive to set new standards in our industry. Join us and be part of a team that's redefining what's possible. CSE offers a competitive salary and comprehensive benefits package, including medical, dental, life, disability, 401k, and paid time off. CSE is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity and veteran status.
