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Job Description

Software Technology Inc is seeking two Population Health Data Engineers with deep Epic data ecosystem expertise for a hybrid role based in Charlestown, MA, with remote options, focusing on scalable data pipelines, clinical and claims data integration, and population health analytics initiatives.

Responsibilities

  • Architect and maintain scalable data pipelines for population health programs and claims analytics.
  • Leverage Epic data platforms such as Clarity, Caboodle, Chronicles, Registries and Rosters in daily work.
  • Integrate clinical and claims data to enable longitudinal, patient-level analytics.
  • Design and optimize data models supporting quality measures.
  • Design and optimize data models for risk stratification.
  • Design and optimize data models for utilization and cost analytics.
  • Support care management initiatives through data solutions.
  • Develop and maintain risk adjustment models including HCC, RAF, and MARA.
  • Ingest, transform, and validate medical and pharmacy claims data.
  • Work with Milliman MedInsight data models for payer-provider analytics and benchmarking.
  • Build and optimize ELT processes on modern cloud platforms.
  • Collaborate with Healthy Planet, clinical, quality, and analytics teams to deliver data-driven solutions.
  • Ensure data quality, governance, and HIPAA compliance across pipelines and models.
  • Tune performance for large datasets and complex SQL queries.

Requirements

  • Strong hands-on experience with Epic Clarity and Caboodle
  • Experience with Chronicles data structures
  • Experience with Epic Registries / Healthy Planet
  • Background in Population Health and Value-Based Care
  • Proficiency in Risk Adjustment (HCC, RAF, MARA)
  • Snowflake data warehousing and related features
  • DBT (Data Build Tool) expertise
  • Dynamic Tables (Snowflake) experience
  • Advanced SQL and data modeling capabilities
  • Experience building and maintaining data pipelines
  • Experience with medical and pharmacy claims data
  • Experience with payer-provider analytics
  • Milliman MedInsight experience (preferred)
  • Bachelor's or Master's degree in Computer Science, Health Informatics, Data Engineering or related field
  • 6+ years of data engineering experience
  • Healthcare domain experience, specifically Population Health analytics and payer environments (preferred)

Technologies

  • Epic Clarity
  • Epic Caboodle
  • Chronicles
  • Epic Registries / Healthy Planet
  • Snowflake
  • DBT (Data Build Tool)
  • Dynamic Tables (Snowflake)
  • Milliman MedInsight
  • SQL

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