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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Caremark LLC., a CVS Health company, is seeking a Senior Data Engineer to join their team in Irving, TX. This role involves developing large-scale data structures and pipelines to organize, collect, and standardize data for insights and reporting needs. The candidate will write ETL processes, design database systems, and develop tools for real-time and offline analytic processing, collaborating closely with the Data Science team to integrate algorithms into automated workflows. Key responsibilities include testing and maintaining systems, conducting data requirements assessments, and building robust data pipelines using Python or similar languages on Google Cloud BigQuery. The ideal candidate will have experience in data warehousing, supporting large-scale technology modernization initiatives, and analyzing data for retail and healthcare industries, leveraging tools like JIRA, Rally, or Confluence to ensure adherence to data quality standards.

Skills

Python SQL Google Cloud BigQuery Data Warehousing ETL Docker Kubernetes CI/CD JIRA Rally Confluence PostgreSQL AWS Terraform Git GitHub Scikit-learn Pandas NumPy Matplotlib Seaborn

What you'll do

Develop large-scale data structures and pipelines to organize and standardize data.
Write ETL processes and design database systems to improve existing analytic capabilities.
Collaborate with the Data Science team to integrate algorithms into automated processes.
Conduct data requirements assessments and design sessions with customers for business needs.
Build and deliver Enterprise Logical and Physical data models aligning with governance policies.
Utilize Google Cloud Big Query commands to build efficient data pipelines and optimize queries.
Integrate data from various sources, ensuring adherence to quality and accessibility standards.

What we're looking for

Master’s degree in Computer Science, Data Science, Analytics, Statistics, Mathematics, Engineering, or related field required
2+ years of experience developing ETL processes and database systems
Experience with data warehousing and data modeling for large-scale analytics
Proficiency in Python, SQL, and Google Cloud BigQuery for building robust data pipelines
Strong collaboration skills with Data Science teams to integrate algorithms into automated processes
Analytical expertise in retail or healthcare industries, focusing on data quality and accessibility standards
Ability to assess IT environments and recommend solutions for complex business problems

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