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 $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 407 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 133 roles with salary data.

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At a glance

TL;DR · Data Engineer

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Aetna Resources LLC, a CVS Health company, is seeking a Data Engineer in Irving, TX to develop and manage large-scale data structures and pipelines. This role involves building efficient ETL workflows to address complex business challenges and support applications. The ideal candidate will have experience with Hadoop and Hive, cloud technologies like Azure or AWS, and expertise in building data-intensive applications while tackling architectural and scalability issues. Responsibilities include infrastructure planning, production deployment management, post-production support, and collaboration with cross-functional teams. Candidates must also demonstrate proficiency in analyzing large datasets from multiple sources using SAS or SQL, as well as working knowledge of Spark, PySpark, Scala, and Hadoop architecture.

Skills

Hadoop Hive AWS Azure GCP SAS SQL Spark PySpark Scala HDFS CI/CD

What you'll do

Develop and manage large-scale data structures and pipelines using Hadoop and Hive.
Build efficient ETL workflows to address complex business problems.
Plan and manage cloud infrastructure on Azure, AWS, or GCP for production environments.
Collaborate with teams to solve architectural and scalability issues in data-intensive applications.
Analyze large datasets from multiple sources to support business needs.
Provide post-production support, including bug fixes and monitoring.

What we're looking for

Master’s degree in Computer Science, Information Systems, Data Science, Statistics, Mathematics, Analytics, Civil Engineering or related field required.
Six months of experience with Hadoop and Hive.
Six months of experience with cloud technologies: Azure, AWS, GCP.
Six months of experience building data-intensive applications and pipelines.
Six months of experience in infrastructure planning and production support.
Six months of experience analyzing large datasets from multiple sources.
Proficient in SAS or SQL programming languages.

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