Medicare Revenue Data Engineering Lead

CVS Health Corporation; Columbia (SC); On-site; USD 83,000 - 183,000; Full time

Benefits offered by this job

Bonus eligibility

Equity award program

Comprehensive benefits

Job summary

CVS Health Corporation is seeking a data engineering leader to own the Medicare revenue data foundation. You will design pipelines feeding the Medicare revenue projection model, ingest diverse sources, and ensure data lineage and auditability for Finance forecasts.

You will collaborate with Enterprise Data/IT on Databricks lakehouse standards, implement CI/CD, and mentor engineers in a regulated, sensitive environment. Strong healthcare data expertise is essential.

Qualifications

• 8+ years in data engineering.
• 4+ years of expert level experience in healthcare data: claims, encounters, eligibility, provider, and clinical/chart sources.
• 4+ years of hands-on production experience with Databricks / Spark (PySpark), Python, and SQL.

Responsibilities

• Design, build, and operate data pipelines and analytic tables for Medicare revenue projection.
• Ingest, normalize, and reconcile claims/encounters, eligibility, EMR/chart extracts, and CMS artifacts.
• Own data quality, reconciliation, lineage, and snapshot/freeze processes for accruals and audits.
• Partner with enterprise data/IT on Databricks lakehouse standards and CI/CD.
• Provide trusted datasets to Modeling, Finance, Actuarial, and Revenue Integrity.
• Define SLAs for freshness; monitor source-system changes that affect forecasts.
• Lead and mentor data engineers and establish engineering practices in a regulated environment.

Skills

Data engineering

Healthcare data

Education

Bachelor's degree in CS/engineering

Tools

Databricks

Spark

PySpark

Python

SQL

Airflow

Job description

CVS Health Corporation is seeking a data engineering leader to own the Medicare revenue data foundation. You will design pipelines feeding the Medicare revenue projection model, ingest diverse sources, and ensure data lineage and auditability for Finance forecasts.

You will collaborate with Enterprise Data/IT on Databricks lakehouse standards, implement CI/CD, and mentor engineers in a regulated, sensitive environment. Strong healthcare data expertise is essential.