Population Health Data Engineer

• Posted 2 days ago • Updated 4 hours ago
Full Time
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Reporting
  • Epic
  • Clarity
  • Advanced Analytics
  • Use Cases
  • Management Consulting
  • SQL
  • Data Modeling
  • Data Engineering
  • Health Care
  • Analytics

Summary

We're seeking a Population Health Data Engineer with deep expertise in Epic data ecosystems and healthcare analytics for a client in Georgia! This position starts immediately and will be at least 6 months with potential extensions. Please see additional details and qualifications below!

Additional Details:
  • 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, utilization, and care management analysis.
  • Support development and operationalization of risk scoring data models and analytics (e.g., MARA, HCC, RAF).
  • Strong SQL and data modeling expertise. Experience building and maintaining data pipelines.

Qualifications:
  • 6+ years of experience in data engineering, with strong preference for healthcare, payer, or population health analytics experience.
  • Good to travel up to 25% of the time
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10358453
  • Position Id: 032187
  • Posted 2 days ago
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