Sr. 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 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 · Sr. Data Engineer

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Aetna Resources LLC, a CVS Health company, is seeking a Senior Data Engineer to join their team in Irving, TX. This role involves designing and managing large-scale data structures and ETL workflows to support business applications. The senior data engineer will develop robust data pipelines using Python or Java, collaborate with the Data Science team to integrate algorithms into automated processes, and leverage Google Cloud Platform architecture for efficient query optimization. Key responsibilities include building data marts and models, integrating diverse data sources while ensuring quality standards, and analyzing IT environments to recommend solutions. The ideal candidate has a Master’s degree in Computer Science or related field and experience with Oracle, DB2, SQL, and large-scale applications development in healthcare or business sectors.

Skills

Python Java Google Cloud Platform Oracle DB2 SQL Kafka Hadoop Spark CI/CD Docker PostgreSQL AWS Azure Terraform Git Jenkins Prometheus Grafana

What you'll do

Develop large scale data structures and pipelines for organizing and standardizing data.
Write ETL processes and design database systems to support real-time analytics.
Collaborate with Data Science team to integrate algorithms into automated workflows.
Design and optimize queries to build efficient data pipelines on Google Cloud Platform.
Build data marts and models to support internal customers' needs in healthcare sector.
Integrate data from various sources while ensuring adherence to quality standards.

What we're looking for

Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, Engineering, or related field.
2+ years of experience in large-scale applications development, data science, or data analytics projects.
Expertise in Oracle, DB2, and SQL database management.
Experience designing data architectures, including pipelines and machine learning infrastructure.
Proficient in Python, Java, or similar programming languages for building robust data systems.
Collaborative work with Data Science teams to integrate algorithms into automated processes.

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