Data Engineer (Epic & Healthcare Analytics)
Occupations:
Data Warehousing SpecialistsDatabase ArchitectsData ScientistsHealth Informatics SpecialistsSoftware DevelopersIndustries:
Management, Scientific, and Technical Consulting ServicesBusiness Schools and Computer and Management TrainingEducational Support ServicesOther Professional, Scientific, and Technical ServicesWeb Search Portals, Libraries, Archives, and Other Information ServicesRequired Qualifications
Strong hands-on experience with Epic systems, including:
Epic Registries
Chronicles data structures
Hyperspace or Hyperdrive environments
Clarity and Caboodle data models
Experience with modern data engineering tools and platforms:
Snowflake (data warehousing)
DBT (data transformation and modeling)
Dynamic Tables in Snowflake
Solid understanding of healthcare domain concepts, including population health and value-based care.
Experience with healthcare claims processing (medical and pharmacy claims).
Hands-on experience with Milliman MedInsight data models and analytics workflows.
Strong SQL and data modeling expertise.
Experience building and maintaining data pipelines.Key Skills
Population Health & Risk Analytics
Healthcare Data Modeling (Clinical and Claims)
Epic Data Ecosystem Expertise
Snowflake & DBT
SQL & Performance Optimization
Data Governance & ComplianceEducation & Experience
Bachelor’s or Master’s degree in Computer Science, Health Informatics, Data Engineering, or related field.
6+ years of experience in data engineering, with strong preference for healthcare, payer, or population health analytics experience.