Population Health Data Engineer
$80 - $85 per hourApex Systems Inc
Population Health Data Engineer
Location: Remote, with occasional travel to Boston for go-live or training Employment Type: Contract Role Overview We are seeking a skilled Population Health Data Engineer with expertise in Epic data ecosystems and healthcare analytics. This role will focus on designing, building, and optimizing data pipelines and models to support population health, quality of care, and claims analytics. Key Responsibilities- Design, develop, and maintain scalable data pipelines supporting population health, claims analytics, and reporting.
- Work extensively with Epic data sources including Registries, Rosters, Chronicles, Clarity, and Caboodle.
- Integrate clinical and claims data to support longitudinal patient views and advanced analytics.
- Develop data models for population health use cases including quality measures, risk stratification, and care management analysis.
- Support development and operationalization of risk scoring data models and analytics.
- Process and transform healthcare claims data (medical and pharmacy) for analytics and reporting.
- Work with Milliman MedInsight data structures to support payer-provider analytics.
- Build and optimize ELT pipelines using modern cloud platforms.
- Collaborate with analytics teams to translate business needs into technical solutions.
- Ensure data quality, governance, and compliance with healthcare regulations.
- Strong hands-on experience with Epic systems, including Registries, Chronicles, Clarity, and Caboodle.
- Experience with modern data engineering tools such as Snowflake and DBT.
- Solid understanding of healthcare domain concepts, including population health and value-based care.
- Experience with healthcare claims processing (medical and pharmacy).
- Hands-on experience with Milliman MedInsight data models and analytics workflows.
- Strong SQL and data modeling expertise.
Vacancy posted 4 days ago
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