Hiring for HEDIS - Data Engineer :: Remote

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Please find the Job Description (JD) below.

Role : Senior HEDIS Data Engineer

Location : Remote

Hands on experience in customer data analysis involving UNIX file-handling commands and scripting are limited

We are looking for a Senior Data Engineer with Hands on experience in customer data analysis involving UNIX file-handling commands and scripting are limited

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

Are comfortable working with hybrid measures, including medical record/supplemental

data integration

Can trace a HEDIS rate back through the pipeline to its source claims/encounter data for

audit purposes

Have worked within HEDIS submission timelines and understand the compliance stakes

involved

Nice to Have

Experience with NCQA HEDIS audits or working alongside a certified HEDIS compliance