Staff Data Engineer

CVS Health

Remote

Quick summary

Work type
Remote
Location
Irving, TX
Posted
6 days ago
Closes
Jul 6, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $176k
$130k most similar roles pay here $222k

This listing doesn't post a salary. Most similar roles pay $139,075–$213,375.

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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View all roles at CVS Health

At a glance

TL;DR · Staff Data Engineer

Caremark LLC, a CVS Health company, seeks a Staff Data Engineer to develop and manage large-scale data structures and pipelines, focusing on efficient ETL workflows to address complex problems and support business applications. This role involves building robust data solutions using XML and JSON, REST and SOAP Web Service APIs, Spark, PySpark, or Scala, with an emphasis on handling big data in the healthcare sector. The ideal candidate will have a Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field, along with one year of relevant experience, including six months each in XML/JSON, Web Service APIs, Spark technologies, and large-scale data analytics in healthcare, business, or retail contexts.

What you'll do

  • Develop and manage large-scale data structures and pipelines.
  • Build efficient ETL workflows to address complex problems.
  • Implement big data solutions for the healthcare sector.
  • Work with XML, JSON, REST, SOAP, and Web Service APIs.
  • Utilize Spark, PySpark, or Scala in data analytics projects.

What we're looking for

  • Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or related field required.
  • At least one year of experience as a Staff Data Engineer or similar role.
  • Six months of experience with XML and JSON data formats.
  • Six months of hands-on experience with REST, SOAP, and Web Service APIs.
  • Proficiency in Spark, PySpark, or Scala for big data processing.
  • Experience in data analytics on large datasets within healthcare, business, or retail sectors.
  • Six months of experience implementing Big Data solutions.

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