Job Description
Required 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 & Compliance
Education & 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.