Senior Data Engineering Manager - Healthcare Revenue

CVS Health Corporation; Saint Paul (MN); On-site; USD 83,000 - 183,000; Full time

Job summary

CVS Health Corporation is seeking an experienced Data Engineer to own the data foundation for the Medicare revenue engine in Minnesota. You will design and run data pipelines for member-month, diagnosis, and CMS data, ensuring timely, complete, and auditable datasets for Finance forecasting.

The role requires 8+ years in data engineering with 4+ years in healthcare data and hands-on Databricks/Spark (PySpark), Python, and SQL.

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/Lakehouse/ELT patterns, orchestration (Airflow or equivalent), and data-quality frameworks.
• 4+ years of experience supporting risk-adjustment, actuarial, or finance workloads (reconciliation, point-in-time history, auditability).
• Strong understanding of PHI, HIPAA, and controls appropriate to revenue and CMS-submission data.

Responsibilities

• Design, build, and operate data pipelines and analytic tables for the Medicare revenue projection model.
• Ingest, normalize, and reconcile claims/encounters, eligibility, EMR/chart extracts, and CMS artifacts.
• Implement HCC/ICD-10 mapping and model-year versioning to avoid reverse-engineering source systems.
• Own data quality, reconciliation, lineage, and snapshot/freeze processes for accruals and audits.
• Partner with enterprise data/IT on lakehouse standards using Spark/PySpark and CI/CD.

Skills

Data engineering

Healthcare data

Databricks/PySpark

Python

SQL

Airflow

Data quality

Education

Bachelor's in CS/Engineering

Tools

SAS

Job description

CVS Health Corporation is seeking an experienced Data Engineer to own the data foundation for the Medicare revenue engine in Minnesota. You will design and run data pipelines for member-month, diagnosis, and CMS data, ensuring timely, complete, and auditable datasets for Finance forecasting.

The role requires 8+ years in data engineering with 4+ years in healthcare data and hands-on Databricks/Spark (PySpark), Python, and SQL.