Manager, Data Engineering

CVS Health

Remote

Quick summary

Work type: Remote
Location: Woonsocket, RI
Posted: 6 days ago
Closes: Jul 6, 2026
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $175k

$129k most similar roles pay here $224k

This listing doesn't post a salary. Most similar roles pay $138,362–$211,650.

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 409 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 135 roles with salary data.

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At a glance

TL;DR · Manager, Data Engineering

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Caremark LLC, a CVS Health company, seeks a Manager of Data Engineering in Woonsocket, RI, to lead and manage IT projects for data engineering and product teams. This senior-level role involves developing large-scale data structures and pipelines to standardize and organize data for insights and reporting needs, coordinating activities across various teams, resolving technical issues, and collaborating with the Data Science team to integrate algorithms into automated processes. The ideal candidate will have expertise in Python, Java, or similar languages, Hadoop architecture, and cloud technologies like AWS, Azure, or GCP, as well as experience with tools such as Jenkins, Git, JIRA, and Confluence. They should also be adept at designing data models for analytical use cases and providing domain support for healthcare or retail pharmacy organizations, ensuring adherence to data quality standards while experimenting with new tools to optimize solutions.

Skills

Python Java R AWS Azure GCP Hadoop Hive Spark PySpark Scala Oracle Teradata DB2 JIRA Rally Confluence SAS SQL CI/CD Git DevOps Agile SAFe

What you'll do

Develop large-scale data structures and pipelines to organize, collect, and standardize data.
Coordinate data engineering activities and strategy across multiple teams and stakeholders.
Write ETL processes and design database systems for real-time and offline analytics.
Collaborate with Data Science team to integrate algorithms into automated processes.
Build data marts and models to support internal customers in healthcare or pharmacy.

What we're looking for

Master’s degree in Computer Science, Software Engineering, Data Science, Statistics, Mathematics, Analytics, or related field required.
2 years of experience in software development for enterprise or web applications and data analysis for healthcare industry.
Proficient in Java, Python, R, Hadoop, Hive, Spark, PySpark, Scala, and cloud technologies (AWS, Azure, GCP).
Experience with CI/CD tools like Jenkins, GIT, JIRA, Rally, Confluence, Agile methodologies, and SAFe Software Development Principles.
Expertise in database systems such as Oracle, Teradata, DB2, SAS, SQL programming languages, and designing data models for analytical use cases.

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