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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Aetna Resources, LLC., a CVS Health company, seeks a Senior Data Engineer in Irving, TX to analyze complex data engineering problems and develop large-scale data structures and pipelines. This role involves building efficient ETL workflows, providing interactive KPI dashboards, and working with big data platforms like Hadoop on GCP or AWS. The ideal candidate will have five years of experience analyzing large datasets from multiple sources, programming in Python, SQL, Hadoop, or Hive, and using tools such as Tableau, Power BI, SAP Crystal reporting, and Cognos BI Reporting. Additionally, the position requires expertise in testing, quality assurance, troubleshooting, and analyzing Medicare and Medicaid data including claims, provider, and utilization datasets.

Skills

Python SQL Hadoop Hive Tableau Power BI SAP Crystal reporting Cognos BI Reporting tools GCP AWS Medicare data analysis Medicaid data analysis Claims data processing Provider data analysis Utilization dataset analysis

What you'll do

Analyze large data sets from multiple sources to provide interactive KPI dashboards.
Develop scalable code using Hadoop or Hive, SQL, and Python for efficient ETL workflows.
Test, troubleshoot, and ensure quality assurance in big data platforms like GCP or AWS.
Utilize Tableau, Power BI, SAP Crystal reporting, and Cognos BI tools for data visualization.
Analyze Medicare and Medicaid claims, provider, and utilization datasets to support business needs.

What we're looking for

Bachelor’s degree in Computer Science, Electrical Engineering, Business Analytics, or related field required.
5 years of experience analyzing large data sets from multiple sources and creating KPI dashboards.
Expertise in Hadoop/Hive, SQL, Python for programming large-scale data structures and ETL workflows.
Proficient in testing, quality assurance, and troubleshooting complex data engineering problems.
Experience with Tableau, Power BI, SAP Crystal reporting, Cognos BI Reporting tools required.
5 years working with big data platforms like Hadoop on GCP or AWS.
Analyzing Medicare and Medicaid data including claims, provider, and utilization datasets.

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