Senior Data Engineer

• Design, build, and maintain scalable batch and streaming data pipelines supporting HEDIS measure calculation and reporting
• Ingest and transform claims, encounter, lab, pharmacy, and supplemental data feeds used in HEDIS measure logic
• Implement and maintain HEDIS measure specifications (NCQA Volume 2) in code, ensuring accurate translation of clinical logic into data transformations
• Support annual HEDIS reporting cycles, including hybrid measure data collection, rate calculation, and submission-ready extracts
• Build automated testing and validation to confirm HEDIS measure outputs match specification and prior-year trends
• Partner with quality/clinical teams, compliance, and analytics to understand measure requirements and NCQA/CMS updates each year
• Investigate and resolve discrepancies in HEDIS rates, source data gaps, and measure logic issues
• Maintain clear documentation of data lineage, transformation logic, and measure mappings for audit and NCQA review purposes
• Continuously improve pipeline architecture for scalability, performance, and data integrity across HEDIS reporting workflows

Requirements

• 5+ years of experience in data engineering or a closely related field, including direct HEDIS experience
• Hands-on experience with HEDIS measure specifications (NCQA Volume 2) and HEDIS reporting cycles
• Familiarity with healthcare data types relevant to HEDIS: claims, encounters, eligibility, pharmacy, lab, and supplemental data
• Strong SQL skills and hands-on experience with at least one major data warehouse (Snowflake, BigQuery, Redshift, or similar)
• Proficiency in Python or Scala/Java for building production data pipelines
• Experience with modern orchestration tools (Airflow, Dagster, Prefect, or similar)
• Solid understanding of data modeling, dimensional design, and ETL/ELT best practices in a healthcare context
• Experience working with or alongside HEDIS/quality measure engines (e.g., Inovalon, Cotiviti, MedInsight, or custom rules engines) is a plus