Senior Data Engineering Manager, Healthcare Analytics

CVS Health Corporation; United States; Remote; USD 83,000 - 183,000; Full time

Benefits offered by this job

Medical insurance

Dental coverage

Vision coverage

Paid time off

Job summary

CVS Health Corporation is seeking a senior data engineering leader to design, build, and operate data pipelines feeding Medicare revenue projections. You will ingest and reconcile claims, eligibility data, and CMS artifacts while implementing HCC/ICD-10 mappings and model-year versioning.

You will own data quality, lineage, and snapshot processes, partner with enterprise data/IT on lakehouse standards, and mentor engineers in a regulated health data environment.

Qualifications

• 8+ years in data engineering.
• 4+ years of healthcare data experience: claims, encounters, eligibility, provider, and chart sources.
• 4+ years of production experience with Databricks / Spark (PySpark), Python, SQL, Lakehouse / ELT patterns, orchestration (Airflow or equivalent), and data-quality frameworks.
• 4+ years supporting risk-adjustment, actuarial, or finance workloads (reconciliation, history, auditability).
• Strong understanding of PHI, HIPAA, and controls for revenue and CMS data.

Responsibilities

• Design, build, and operate data pipelines and analytic tables feeding Medicare revenue projections.
• Ingest, normalize, and reconcile claims/encounters, eligibility/enrollment, EMR/chart extracts, vendor files, and CMS artifacts.
• Implement HCC/ICD-10 mapping and versioning for model year constructs.
• Own data quality, reconciliation, lineage, and snapshot/freeze processes for accruals and audits.
• Partner with enterprise data/IT on Databricks lakehouse standards: Spark/PySpark, orchestration, CI/CD, access control, cost/performance.
• Provide trusted datasets to Modeling, Finance, Actuarial, and Revenue Integrity.

Skills

Data engineering

Healthcare data

Databricks / Spark (PySpark)

Python

SQL / Lakehouse / ELT

Airflow or equivalent

Data quality & reconciliation

Education

Bachelor’s degree in CS/engineering or related field

Tools

Databricks

Spark (PySpark)

Python

SQL

Airflow

Job description

CVS Health Corporation is seeking a senior data engineering leader to design, build, and operate data pipelines feeding Medicare revenue projections. You will ingest and reconcile claims, eligibility data, and CMS artifacts while implementing HCC/ICD-10 mappings and model-year versioning.

You will own data quality, lineage, and snapshot processes, partner with enterprise data/IT on lakehouse standards, and mentor engineers in a regulated health data environment.