Senior Manager, Data Engineering — Medicare Revenue

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

Benefits offered by this job

Bonus eligibility

Comprehensive benefits

Equity awards

Job summary

CVS Health Corporation in Lincoln, Nebraska is seeking a data engineer to own the Medicare revenue data foundation, bringing expertise in claims, encounters, eligibility, and CMS files with Databricks/Spark, Python, and SQL.

You will design, build, and operate data pipelines and analytic tables feeding the Medicare revenue projection model, ensure data quality and lineage, and collaborate with Modeling, Finance, and Actuarial teams.

Qualifications

• 8+ years in data engineering and healthcare data domains.
• 4+ years with Databricks / Spark (PySpark), Python, SQL.
• 4+ years supporting risk-adjustment, actuarial, or finance workloads.
• Strong PHI, HIPAA controls experience.

Responsibilities

• Design, build, and operate data pipelines and analytic tables for Medicare revenue projection.
• Ingest, normalize, and reconcile claims/encounters, eligibility, and CMS artifacts.
• Own data quality, lineage, and snapshot processes for accruals and audits.
• Lead data engineers and set engineering practices in a regulated environment.
• Provide trusted datasets to Modeling, Finance, and Actuarial teams.

Skills

Data engineering

Healthcare data

Databricks / Spark

Python

SQL

PySpark

Airflow

Data quality

HIPAA

Education

Bachelor's in CS/Engineering

Tools

Airflow

Spark

Databricks

CI/CD

Job description

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Role summaryThis role owns the data foundation that the Medicare revenue engine runs on. It requires an expert in healthcare and risk-adjustment data, including claims, encounters, eligibility, clinical/chart sources, and CMS payment and diagnosis files. Expertisein production-grade platforms (Databricks / Spark lakehouse, Python, SQL) is also required. The job is to make member-month, diagnosis, and payment data timely, complete, lineage-traced, and auditable so Finance can forecast and book revenue with confidence.

• Design, build, and operate the data pipelines and analytic tables that feed the Medicare revenue projection model (member-month grain, HCC/diagnosis history, engagement/visit flags, CMS files, program attributes).
• Ingest, normalize, and reconcile: claims/encounters (837 and internal), eligibility/enrollment, EMR/chart extracts, vendor/program files, and CMS artifacts (MMR, MOR, MAO-004, and related).
• Implement HCC / ICD-10 mapping, model-year (e.g., V24/V28) versioning, and diagnosis-year vs. payment-year constructs so modelers do not have to reverse-engineer source systems.
• Own data quality, reconciliation, lineage, and snapshot/freeze processes required for accruals, AtoE, and audit.
• Partner with enterprise data/IT on Databricks (or equivalent) lakehouse standards: Spark/PySpark, orchestration, CI/CD, access control, and cost/performance.
• Provide trusted, documented datasets to Modeling, Finance, Actuarial, and (as needed) Revenue Integrity.
• Define SLAs for freshness and completeness; monitor drift and source-system changes that would invalidate forecasts.
• Lead and mentor data engineers; set engineering practices for a regulated, financially sensitive environment.
• Support modular outputs (revenue, membership/mix, other items) so the engine can evolve without rewriting the warehouse.

Required Qualifications8+ years in data engineering4+ 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 (e.g., 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.

Preferred QualificationsFamiliarity with 834/837, ICD-10, and HCC assignment.SAS (nice to have, especially for legacy actuarial extracts).Direct RA file experience (MMR, MOR, MAO-004, EDS/encounter status).Prior work on member‑level RA engines, suspect/recapture warehouses, or revenue‑forecast data products.

EducationBachelor’s in CS, engineering, or related field (or equivalent experience).

Pay RangeThe typical pay range for this role is:$82,940.00 - $182,549.00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great peopleWe take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.Additional details about available benefits are provided during the application process and on

Benefits Moments.

.We anticipate the application window for this opening will close on: 10/30/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.