Senior Data Engineer

CVS Health

Remote

Quick summary

Work type: Remote
Location: Irving, TX
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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CVS Pharmacy, Inc., a CVS Health company, seeks a Senior Data Engineer for its Irving, TX location with the option for telecommuting. This role involves leading data engineering initiatives and collaborating closely with cross-functional teams to design, develop, and maintain scalable data solutions. Day-to-day responsibilities include implementing big data projects using Spark, PySpark, or Scala, managing JIRA, Rally, or Confluence for project tracking, and working on data warehousing tasks. The ideal candidate possesses strong experience in data engineering, big data technologies, and has a background in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field with at least five years of relevant professional experience. This position plays a crucial role in enhancing the company’s data infrastructure to support its expansive healthcare solutions.

Skills

Spark PySpark Scala JIRA Rally Confluence Data warehousing Big data implementation

What you'll do

Design and implement large-scale data processing solutions using Spark, PySpark, or Scala.
Develop and maintain data warehousing systems to support business intelligence needs.
Utilize JIRA, Rally, or Confluence for project management and tracking of development tasks.
Collaborate on the implementation of big data projects to enhance operational efficiency.
Ensure data integrity and accuracy in all data-related initiatives and projects.

What we're looking for

Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or related field required.
Five years of progressive post-baccalaureate experience in data science or a related occupation.
Proficiency in Spark, PySpark, or Scala.
Experience with JIRA, Rally, or Confluence.
Expertise in data warehousing and big data implementation.

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