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 $161k

$110k most similar roles pay here $209k

This listing doesn't post a salary. Most similar roles pay $126,800–$194,872.

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 417 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 142 roles with salary data.

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At a glance

TL;DR · Data Engineer

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Caremark, LLC is seeking a Data Engineer to join its Irving, TX team at CVS Health. This senior-level role involves developing and managing large-scale data structures and pipelines to address complex business problems and support reporting needs. The Data Engineer will write ETL processes, design database systems, and integrate algorithms into automated workflows using Google Cloud services like BigQuery and Cloud SQL. They will collaborate with the Data Science team to build robust data marts and models, ensuring adherence to quality standards while experimenting with new tools to optimize solutions. Required skills include experience in Java or Python programming, proficiency in SQL, and expertise in designing data models for analytical use cases. The ideal candidate has a Master’s degree in Computer Science or related field and two years of relevant work experience, including agile development practices and support for large-scale technology modernization initiatives.

Skills

Python Java R Google Cloud BigQuery Cloud SQL Cloud Storage Oracle Teradata DB2 SQL Agile CI/CD

What you'll do

Develop large-scale data structures and pipelines to organize and standardize data for business insights.
Write ETL processes and design database systems to improve existing analytic processing capabilities.
Collaborate with Data Science team to integrate algorithms into automated processes.
Test and maintain data systems, troubleshooting malfunctions in real-time and offline environments.
Utilize cloud services like Google Cloud BigQuery and Cloud Storage to optimize data queries and pipelines.
Build data marts and models to support internal customers’ analytical needs.

What we're looking for

Master’s degree in Computer Science or related field with 2+ years of relevant experience
Proficient in Java, Python, or R for developing robust data pipelines
Expertise in SQL programming and database management (Oracle, Teradata, DB2)
Experience designing data models and solutions for analytical use cases
Knowledge of Agile tools and incremental software release processes
Development of data and analytics-based platform capabilities and services
Support for large-scale data initiatives and technology modernization

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