Data Analytics Engineer

Description: Job Overview

The Data Analytics Engineer will design, build, and optimize the data pipelines and infrastructure that power analytics and decision-making across the organization. This role ensures data is reliable, scalable, and ready for use by analysts, data scientists, and business stakeholders.

Job Mission

To deliver trusted, high-quality data pipelines and a reliable data platform that enable the company to operate efficiently, make better decisions, and scale with confidence.

What you will do Most important responsibilities of this role

• Design and maintain robust data transformation pipelines - build scalable transformation workflows in dbt that transform raw data into clean, consistent, analysis-ready tables. Apply best practices so data is trustworthy and reusable.
• Enable analytics and insights - prepare and optimize data for analysts, business intelligence, machine learning applications, and reverse ETL.
• Ensure reliability and scalability - monitor, test, and improve the performance and quality of data infrastructure.

How you will do it The ideal hire will

• Engineer with a balance of systems and product mindsets - design pipelines and workflows that are efficient, resilient, and maintainable, that can be iterated to deliver increasing business value as CreditXpert learns and responds to the marketplace.
• Prioritize data quality and consistency - implement checks and governance to ensure trustworthy analytics.
• Collaborate cross-functionally - work with analytics engineers, BI developers, product, marketing, and sales teams to translate requirements into scalable data solutions.

Essential Functions:

As the Data Analytics Engineer you will:

• Develop and maintain dbt models that transform raw data into trusted, reusable datasets. Apply best practices in design, testing, and documentation to ensure reliability
• Deliver analysis-ready tables, ensuring consistency across business metrics
• Build and manage ETL/ELT pipelines using modern orchestration tools.
• Design, document, and optimize schemas and data models for analytics workloads.
• Implement data quality checks, monitoring, lineage tracking, anomaly detection, and alerting for pipelines.
• Develop and maintain cloud-based data infrastructure .
• Automate data workflows to reduce manual processes and errors.
• Optimize performance of data queries and warehouse workloads.
• Write clear data documentation
• Collaborate with analysts and data scientists to deliver clean, ready-to-use data.
• Support incident resolution and root-cause analysis for data issues.
• Stay current with best practices in data engineering and modern data stack tools.

PM22

Requirements: Required Education and Experience

• 4 - 6 years' experience years of experience in data engineering, analytics engineering, or related roles
• 4+ years with data models, data quality assurance, and ELT/ETL systems
• Experience designing data models to enable business intelligence and analytics
• Familiarity with reverse ETL
• BS/BA degree in Engineering, Computer Science, Information Technology, or a related technical field
• Advanced proficiency with SQL and experience with SQL database design in a business setting
• Experience with SQL-based data transformation tools (e.g. dbt, Coalesce, SQLMesh, Dataform).
• Strong knowledge of ETL/ELT practices and cloud data warehouse technologies (Snowflake, BigQuery, Redshift, Databricks).
• Proficiency with at least one programming language (Python, Scala, or Java).
• Familiarity with distributed data processing frameworks (e.g., Spark, Flink).
• Comfort with Git-based workflows and CI/CD practices.
• Familiarity with data science and machine learning concepts
• Familiarity with the Agile Scrum frameworks and Product Management tools such as Atlassian Jira and Confluence
• Experience documenting datasets and business logic for shared understanding
• Understanding of data governance/security practices
• Exposure to cost/performance optimization in a cloud data platform

Competencies, Criteria, and Attributes for Success

Job Specific Competencies:

• Pipeline development - ability to design and implement scalable transformation pipelines.
• Data modeling - ability to structure data for analytical performance and usability.
• Data quality & governance - ability to enforce accuracy, consistency, and reliability.
• Problem-solving - ability to diagnose and resolve data and system performance issues.
• Cross-functional collaboration - ability to partner effectively with analytics and business teams.

Core Competencies AKA the X-Factor

We hire and retain Xceptional people to join our team, do you have the X-Factor?

• Team Player - You are a joiner that is comfortable working outside of the boundaries of your job description to support the company and team.
• Respected - You value integrity, display leadership qualities, and you are trusted to represent the brand well - internally and externally.
• Judiciously Courageous - You are courageous enough to judiciously speak up.
• Composed - You are composed, respectful, and calm. Valuing outcomes over output.
• Accountable - You own your work, decisions, and the outcomes - good or bad.
• No Ego - You are confident without having an ego. People say you are an active listener. You delegate where necessary, knowing that you can't possibly know it all.
• Builder Mindset - Has an open mindset. You'd consider yourself a strategic doer.
• Focused - You easily differentiate between real problems and background noise.

Additional Details

Position Type: Full-Time

This is a full-time position that may require long hours and occasional weekends

Classification: Exempt

Supervisory: No

Travel: 0%

About CreditXpert Inc.

Some of what you can expect as an employee at CreditXpert

• Meaningful Mission!
• Creative, Performance Driven Culture
• High Employee Engagement and Employee Satisfaction
• An Incredible Workspace - great location/hassle free parking
• Great Healthcare Benefits - most are 100% company paid
• Generous Paid Leave(s)
• Hybrid Work Arrangements
• Professional Development and Tuition Assistant

Who we are

CreditXpert Inc. is a successful software company that enjoys the freedom to chart its own path. Our team is a small, close-knit community, where each person can make a big impact. We are nimble and have thrived for over 20 years in the midst of constant industry and regulatory upheaval. We believe in using our talents to make a positive impact on the world by improving the financial lives of Americans. As lifelong learners, we have a passion for change and we constantly adapt everything (our business, internal processes, tools ).

We enjoy a wide diversity of backgrounds and opinions, which can lead to passionate debates. We wear multiple hats, often stretch beyond our comfort zone, and see failure as an opportunity to learn. We have fun inventing advanced analytical solutions and creating great user experiences.

What we do

In 2000, we started a revolution by exposing the inner workings of the credit scoring industry to consumers, pioneering a new industry. Millions of people have been using our tools to take control of their credit life, gain access to better loans, and save money. More recently, we enabled the mortgage origination industry to replace guesswork with technology when trying to improve credit scores. As a result, more consumers now qualify for a mortgage at a good rate, and thousands of loan officers, mortgage lenders and other businesses can better serve their customers.

Tech Stack and Frameworks we leverage

Agile Frameworks

Systems + Tools

• Dataiku
• Snowflake
• AWS
• Atlassian: Jira and Confluence
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
• Familiarity with Mathematical Optimization
• Bitbucket and CICD
• Sigma
• Boomi
• dbt Cloud
• Hightouch
• HubSpot
• Bitbucket and CICD

Languages:

• Python (optional: Jinja templating)
• SQL
• Optional: Rust, Java, C++, R, SAS, Stata, Matlab, JMP

Benefits

We strive to create a great experience for our team, not just our customers. We want everyone to be excited about their work, fulfilled and worry-free. That's why we offer lots of autonomy, support, and the flexibility you need to balance your life. Our compensation and benefits package ensures that you can focus all your energy on creating value for our customers and the company.

Our benefits include a flexible and hybrid work environment, open PTO, performance based annual bonuses, company contribution to 401(k), insurance (medical, dental, vision, ST/LT disability, life), HSA and FSA.

Work Environment

This job generally operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, scanners, and shared digital files.

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

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