Data Engineer, Synthetic Data Generation

Humana

Data Engineer at Humana designing, generating, and validating artificial member data for testing and analytics. Collaborating with teams to ensure data integrity and compliance with enterprise standards.

Posted 6/25/2026full-timeRemote • Kentucky, Texas • 🇺🇸 United StatesMid-LevelSenior💰 $80,900 - $110,300 per yearWebsite

Tech Stack

Tools & technologies

CloudETLInformaticaPythonSparkSQL

About the role

Key responsibilities & impact

Designing, generating, and validating high-quality artificial member data to support testing, analytics, and system integration.
Build synthetic data scenarios using tools such as GenRocket, ensuring alignment with complex healthcare business rules, membership processes, and data models.
Oversee the end-to-end data lifecycle—from EDI intake through transformation, validation, and integration into downstream platforms—ensuring data integrity, accuracy, and usability.
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.
Operate within Humana's enterprise data governance, security, and architectural standards.
Report to an Associate Director of Technology Leadership.
Collaborate with teams to design, build, and maintain scalable data solutions with a specialized focus on synthetic member data generation, EDI processing, and data validation.
Ensure data is accurate, testable, and aligned with enterprise standards for reliability, accessibility, and security.

Requirements

What you’ll need

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)
Travel up to 10% into one of our hub offices as business requires.
Experience in healthcare domains, membership, enrollment, claims, dental, or vision data (preferred)
1 or more years of experience with synthetic data generation tools (e.g., GenRocket) or similar frameworks (preferred)
Hands-on experience with data integration and ETL tools (e.g., Informatica, Spark, and Python) (preferred)
Knowledge of data warehousing and cloud platforms (preferred)
Experience with test data management (TDM) practices (preferred)
Understanding of data governance and security standards (preferred)

Benefits

Comp & perks

Health benefits effective day 1
Paid time off, holidays, volunteer time and jury duty pay
Recognition pay
401(k) retirement savings plan with employer match
Tuition assistance
Scholarships for eligible dependents
Parental and caregiver leave
Employee charity matching program
Network Resource Groups (NRGs)
Career development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLrelational databasesdata modelingsynthetic data generationdata integrationETLInformaticaSparkPythontest data management

Soft Skills

collaborationcommunicationproblem-solvingattention to detailorganizational skills

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Information Systems