Data Engineer, Synthetic Data Generation

Humana Inc. is a leading U.S. healthcare company seeking a Data Engineer to design, generate, and validate high-quality artificial member data. The role involves overseeing the end-to-end data lifecycle, collaborating with business partners, and ensuring compliance with data governance and security standards.

Responsibilities:

• Manage, parse, validate, and reconcile ANSI X12 transactions, including: 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 GenRocket, 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

Requirements:

• 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., GenRocket) 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