Senior Data Engineer

CVS Health

Confirmed live today High trust

Closes in 6 days Remote

Quick summary

Work type: Remote
Location: ILArkansasIdahoTexasGeorgiaMontanaIowaWisconsinOregonWashingtonNew YorkDistrict of ColumbiaConnecticutNebraskaRhode IslandTennesseeKentuckyOhioWest VirginiaMarylandMassachusettsSouth CarolinaMissouriUtahArizonaSouth DakotaPennsylvaniaNew HampshireVermontMinnesotaNew MexicoMichiganCaliforniaMaineNorth DakotaKansasIndianaNew JerseyNevadaLouisianaMississippiOklahomaAlabamaVirginiaNorth CarolinaColoradoFloridaWyomingDelaware
Salary: $83,430–$222,480 / yr
Employment: Full-time
Posted: 2 days ago
Freshness: Confirmed live today
Closes: Nov 6, 2026 (soon)
Nearby: 35 roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $163k

This role $153k

$67k $239k

below market most similar roles pay here above market

This role pays less than 55% of similar roles. Most pay $126,800–$200,000 — the blue band above. At the midpoint, this role pays about $153k versus about $163k 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 109 open roles on FindRole.

Listed pay typically runs $106,605–$260,590 across 105 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Senior Data Engineer

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The Senior Data Engineer joins a dedicated team to design and implement data pipelines that power analytical capabilities. This hands-on role involves translating business requirements into technical solutions by creating datasets for analytic and data science workloads. Key responsibilities include developing and optimizing data models and schemas, building ETL/ELT pipelines to ingest and transform large datasets from multiple sources, and establishing data quality standards and governance frameworks. The position requires modeling the Core Data Domain to support various access patterns. Candidates must demonstrate strong proficiency in SQL and Python, with experience deploying pipelines in cloud environments like Azure, AWS, or GCP. The role specifically addresses the technical challenge of integrating data with BI tools and machine learning models, potentially utilizing Tuva or OMOP models within a healthcare data context.

What does a Data Engineer earn in New York?

Median $211200 from 31 postings across 14 companies.

See salary data

Skills

SQL Python ETL ELT Azure AWS GCP Data Modeling Data Warehousing Dimensional Modeling Data Governance Machine Learning Tuva OMOP Models

What you'll do

Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements.
Design and build ETL/ELT data pipelines to ingest and transform large datasets from multiple sources.
Implement performance tuning, partitioning, and clustering to optimize data queries and reduce costs.
Establish and enforce data quality standards, governance frameworks, and security policies for data storage.
Design data solutions that integrate with BI tools and machine learning models for data scientists and analysts.
Create comprehensive documentation for data pipelines, workflows, and internal processes.
Mentor junior data engineers and share best practices for data engineering.

What we're looking for

5+ years of applicable work experience.
Strong proficiency in SQL and experience in developing complex queries.
Experience in Python, specifically with ETL pipelines.
Experience deploying data pipelines in a cloud environment such as Azure, AWS, or GCP.
Knowledge of data governance best practices in a cloud environment.
Excellent communication and interpersonal skills to collaborate with data scientists, analysts, and product owners.
Experience with machine learning flows on GCP (preferred).
Bachelor's degree.

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