Senior Data Engineer

CVS Health

Confirmed live today High trust
Closes in 6 days Remote

Quick summary

Work type
Remote
Location
WisconsinArkansasIdahoTexasGeorgiaMontanaIowaOregonWashingtonNew York, NYDistrict of ColumbiaConnecticutNebraskaRhode IslandTennesseeKentuckyOhioWest VirginiaMarylandMassachusettsSouth CarolinaMissouriUtahArizonaSouth DakotaPennsylvaniaNew HampshireVermontMinnesotaNew MexicoMichiganCaliforniaMaineNorth DakotaKansasIndianaNew JerseyNevadaLouisianaMississippiOklahomaAlabamaVirginiaIllinoisNorth CarolinaColoradoFloridaWyomingDelaware
Salary
$83,430–$222,480 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today
Closes
Oct 16, 2026 (soon)

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $164k
This role $153k
$67k $239k
below market most similar roles pay here above market

This role pays less than 59% of similar roles. Most pay $128,005–$199,100 — the blue band above. At the midpoint, this role pays about $153k versus about $164k for comparable roles.

Based on 240 similar postings.

Employer

About CVS Health

CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy

CVS Health currently has 99 open roles on FindRole.

Listed pay typically runs $106,605–$260,590 across 97 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Senior Data Engineer

The Senior Data Engineer joins a data engineering team responsible for processing Claims, Revenue, Medicare Specific files, and data from over 30 payors into a Data Warehouse. In this role, you will design, integrate, and implement high-quality modern data solutions, supporting migrations of existing workloads to the cloud while managing on-premise systems. You will collaborate with engineering, analysts, data scientists, and product teams in an agile environment to solve complex healthcare data problems. Key responsibilities include dimensional data modeling, schema design, and troubleshooting data issues using performance improvement techniques. Required technical skills include SQL, relational database management systems, Microsoft SQL Server, Databricks, and Azure. You must be proficient in modifying code using Python and PySpark to support cloud-based and on-prem data warehousing services.

What does a Data Engineer earn in New York?

Median $192050 from 31 postings across 19 companies.

See salary data

What you'll do

  • Design, integrate, and implement modern data solutions for on-premise and cloud environments.
  • Support the migration of existing data workloads to the cloud.
  • Process Claims, Revenue, Medicare Specific files, and data from 30+ payors into the Data Warehouse.
  • Modify code in SQL, Python, and PySpark to support cloud-based and on-prem data warehousing services.
  • Perform dimensional data modeling and schema design for data warehousing.
  • Troubleshoot complex data issues and apply performance improvement techniques.
  • Identify and implement process improvements and best practices within the data engineering team.

What we're looking for

  • 5+ years of experience working with SQL and relational database management systems.
  • 3+ years of experience in Cloud technologies.
  • 3+ years of experience in Microsoft SQL server.
  • 3+ years of experience in Databricks.
  • Proficiency in modifying code in SQL, Python, and PySpark to support cloud and on-prem data warehousing services.
  • Hands-on experience with dimensional data modeling, schema design, data warehousing, troubleshooting, and performance improvement techniques.
  • Excellent oral and written communication skills.
  • Bachelor's degree in Computer Science or equivalent, or specialized training/relevant professional qualification (preferred).

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