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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Caremark LLC, a CVS Health company, seeks a senior-level Data Engineer to join their team in Woonsocket, RI, with telecommuting options available. This role involves analyzing complex data engineering challenges and developing large-scale data structures and pipelines to support business applications. Day-to-day responsibilities include building efficient ETL workflows, managing big data platforms like Hadoop on Azure, GCP, or AWS, and utilizing tools such as Jenkins for CI/CD processes. The ideal candidate will have expertise in Java, Python, Node.js, Spark, PySpark, Scala, SAS, SQL, PowerBI, Tableau, JIRA, Rally, Confluence, and cloud cluster management. This position requires a Master’s degree in Computer Science or related field and two years of experience with the specified technologies to address intricate business problems at scale.

Skills

CI/CD Jenkins GIT Java Python Node.js Hadoop SAS SQL PowerBI Tableau Spark PySpark Scala AWS Azure GCP ETL Kafka

What you'll do

Develop and manage large-scale data structures and pipelines.
Build efficient ETL workflows to address complex business problems.
Utilize CI/CD tools like Jenkins and GIT for project management.
Implement big data platforms such as Hadoop on Azure, GCP, or AWS.
Write SQL scripts and use SAS for data manipulation and analysis.
Create visualizations using PowerBI and Tableau for data insights.
Manage cloud components including cluster management for scalability.

What we're looking for

Master’s degree in Computer Science, Analytics, Statistics, or related field.
2 years of experience in CI/CD, Jenkins, GIT, DevOps tools.
2 years working with Java, Python, Node.js for software development.
2 years using JIRA, Rally, Confluence for project management and tracking.
Expertise in Hadoop, Azure, GCP, AWS big data platforms.
Proficient in SAS, SQL programming languages; PowerBI, Tableau visualization tools.
Experience with Spark, PySpark, Scala in big data processing environments.