Senior 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 $172k

$129k most similar roles pay here $215k

This listing doesn't post a salary. Most similar roles pay $137,350–$207,054.

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 · Senior Data Engineer

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As a Senior Data Engineer joining our dynamic team, you will design and manage large-scale data structures and pipelines, focusing on efficient ETL workflows to support critical business applications. Your daily tasks include developing robust data systems, writing complex ETL processes, and collaborating with the Data Science team to integrate advanced algorithms into automated solutions. You will leverage your expertise in Hadoop architecture and SQL to optimize queries and build scalable data pipelines using Python or Java. Additionally, you will create data marts and models tailored for healthcare or retail domains, ensuring high standards of data quality and accessibility while recommending new tools and technologies to enhance performance. This role requires extensive experience with JSON, Agile methodologies, Teradata, Azure, and other key technologies in large-scale application development within the healthcare or retail sectors.

Skills

JSON Agile SAFe Teradata JIRA Rally Azure Hadoop HDFS GPUs CPUs Python Java DataWarehousing ETL SQL DataAnalytics HealthcareData RetailData

What you'll do

Develop large scale data structures and pipelines to organize and standardize data for insights.
Write ETL processes and design database systems for real-time and offline analytic processing.
Build robust data pipelines using Python, Java, or similar languages for dynamic systems.
Integrate data from various sources while ensuring adherence to quality and accessibility standards.
Analyze IT environments to identify critical capabilities and recommend optimal solutions.
Experiment with tools and advise on new technologies to meet specific model/use case requirements.

What we're looking for

5+ years of experience with JSON, Agile methodologies, and SAFe principles
Expertise in Teradata, JIRA, Rally, Azure, Hadoop, and HDFS
Knowledge of infrastructure components like GPUs/CMPs
Experience supporting healthcare or retail organizations
Contribution to large-scale data science and analytics projects
Proficiency in Python, Java, or similar languages for robust pipelines

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