Hiring for HEDIS - Data Engineer :: Remote

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Please find the Job Description (JD) below.

Role : Senior Data Engineer

Location : Remote

HEDIS-Focused Data Engineering

We are looking for a Senior Data Engineer with hands-on HEDIS (Healthcare Effectiveness Data

and Information Set) experience. You will design, build, and maintain the pipelines and

platforms that power HEDIS measure calculation, quality reporting, and regulatory submissions

across the company. This role is for someone who understands the technical and clinical

nuances of HEDIS data - supplemental data, hybrid measures, NCQA specifications - and

can translate that into reliable, well-documented data pipelines.

What You'll Do

• 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

What We're Looking For

• 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

HEDIS Experience

• We are hiring specifically for someone with hands-on HEDIS (Healthcare Effectiveness Data and Information Set) experience. In this role, you will be expected to:

• Have directly built, maintained, or supported pipelines feeding HEDIS measure

calculation or rate reporting

• Understand NCQA HEDIS specification updates and how measure logic changes year

over year