Data Engineer, Synthetic Data Generation

Become a part of our caring community

The Data Engineer (Software Engineer
2) at Humana is responsible for designing, generating, and validating high-quality artificial member data to support testing, analytics, and system integration. You will build synthetic data scenarios using tools such as Gen Rocket, ensuring alignment with complex healthcare business rules, membership processes, and data models. The Data Engineer 2 oversees the end-to-end data lifecycle—from EDI intake through transformation, validation, and integration into downstream platforms—ensuring data integrity, accuracy, and usability.

You will collaborate with business and technical partners to deliver reliable, compliant, and test-ready data assets, while identifying opportunities to improve data generation, validation, and integration processes. You will operate within Humana's enterprise data governance, security, and architectural standards. You will report to an Associate Director of Technology Leadership. This role may require occasional travel into the Tower Hall Park office, Dallas TX.

Candidates residing near or within 50 miles of the Tower Hall Park office are preferred.

• 834 (Enrollment)
• 837 (Claims)
• Additional formats supporting dental and vision lines of business

Ensure accurate ingestion and transformation of EDI data into internal systems.

• Design and execute test scenarios to generate synthetic member data using Gen Rocket, aligning with healthcare business rules and domain requirements.
• Leverage knowledge of membership data, enrollment processes, and downstream impacts to ensure artificial data is realistic and fit for purpose.
• Oversee end-to-end synthetic data lifecycle, from initial design through deployment and validation.

• Validate artificial data for completeness, integrity, and alignment with data models and business rules.
• Identify and resolve data anomalies prior to system integration.
• Ensure generated data meets testing, regulatory, and operational requirements.

• Load generated and transformed data into enterprise platforms and data warehouses.
• Monitor ingestion processes and verify successful processing across systems.
• Develop and maintain data pipelines supporting integration, transformation, and delivery of datasets.

• Use SQL to query, analyze, and manipulate data for validation, testing, troubleshooting, and reporting.
• Investigate data discrepancies and perform root cause analysis using SQL and supporting tools.

• Partner with business stakeholders, QA teams, architects, and engineers to ensure data aligns with test case requirements and system needs.
• Translate business requirements into technical data solutions.

• Bachelor's degree in Computer Science, Information Systems, or related field.
• 3 years experience with SQL, relational databases, and data modeling.
• Experience working with EDI/X12 healthcare transactions (834, 837 preferred).

• Experience in healthcare domains, membership, enrollment, claims, dental, or vision data.
• 1 or more years of experience with synthetic data generation tools (e.g., Gen Rocket) or similar frameworks.
• Hands‑on experience with data integration and ETL tools (e.g., Informatica, Spark, and Python).
• Knowledge of data warehousing and cloud platforms.
• Experience with test data management (TDM) practices.
• Understanding of data governance and security standards.

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status.