Data Engineer

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 $163k

$110k most similar roles pay here $210k

This listing doesn't post a salary. Most similar roles pay $126,800–$199,050.

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 · Data Engineer

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CVS Health is seeking a senior-level Data Engineer in Woonsocket, RI, with expertise in applying mathematical and computational modeling methods to extract and manipulate data for pharmacy pricing, medical costs, risk scores, and customer engagement across critical health journeys such as fitness tracking and disease management. The role involves utilizing strong programming skills to analyze large datasets using Python, Oracle, Azure, Hive, MySQL, and SQL, while also supporting the deployment of insights through ETL processes and cloud-based data warehousing solutions. Candidates should be proficient in DevOps practices, Agile methodologies, and SAFe principles, with a focus on solving complex business problems related to healthcare analytics and customer engagement at scale.

Skills

Python Oracle Azure Hive MySQL SQL ETL Cloud Data Warehousing DevOps Agile SAFe

What you'll do

Develop and apply mathematical models for data extraction and manipulation.
Analyze large datasets using programming skills to solve complex business problems.
Implement ETL processes for efficient data handling and analysis.
Utilize cloud components and cluster management for scalable solutions.
Deploy insights across multiple channels to enhance customer engagement.
Conduct statistical analyses and machine learning projects to improve pharmacy operations.

What we're looking for

Strong experience in Python programming for data manipulation and analysis.
Proficiency in DevOps practices, Agile methodologies, and SAFe principles.
Expertise in cloud technologies like Azure, Hive, and cluster management.
Knowledge of database systems including Oracle, MySQL, and SQL.
Experience with ETL processes and data warehousing solutions.

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