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Humana

Data Engineer, Synthetic Data Generation

Humana

Data Engineer at Humana responsible for designing and validating synthetic member data. Collaborating with teams to support testing, analytics, and system integration processes.

Posted 5/28/2026full-timeDallas • Texas • 🇺🇸 United StatesMid-LevelSenior💰 $80,900 - $110,300 per yearWebsite

Tech Stack

Tools & technologies
CloudETLInformaticaPythonSparkSQL

About the role

Key responsibilities & impact
  • Responsible for designing, generating, and validating high-quality artificial member data to support testing, analytics, and system integration
  • Building synthetic data scenarios using tools such as GenRocket
  • Overseeing the end-to-end data lifecycle—from EDI intake through transformation, validation, and integration into downstream platforms
  • Collaborating with business and technical partners to deliver reliable, compliant, and test-ready data assets
  • Identifying opportunities to improve data generation, validation, and integration processes
  • Operating within Humana's enterprise data governance, security, and architectural standards

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)
  • 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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Hard Skills & Tools
SQLrelational databasesdata modelingsynthetic data generationdata integrationETLInformaticaSparkPythondata warehousing
Soft Skills
collaborationproblem-solvingcommunicationdata governanceattention to detail
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Information Systems