Senior Data Engineer

CVS Health

Closes in 7 days Remote

Quick summary

Work type: Remote
Location: Irving, TX
Posted: 7 days ago
Closes: Jul 6, 2026 (soon)
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $167k

$127k most similar roles pay here $208k

This listing doesn't post a salary. Most similar roles pay $134,826–$198,800.

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 401 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 126 roles with salary data.

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At a glance

TL;DR · Senior Data Engineer

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Caremark LLC, a CVS Health company, seeks a Senior Data Engineer in Irving, TX to develop and manage large-scale data structures and pipelines, focusing on efficient ETL workflows to solve complex business problems. The role involves building CI/CD processes using Jenkins and Git, deploying applications with Docker or Kubernetes, and utilizing AWS for scalable solutions. Candidates will work on feature engineering, model training, hyperparameter tuning, and distributed learning across supervised and unsupervised techniques. Proficiency in Python and experience with project management tools like JIRA, Rally, or Confluence are essential. This position addresses critical data challenges within a large-scale healthcare organization, requiring expertise in advanced analytics and machine learning practices.

Skills

CI/CD Jenkins GIT Python Docker Kubernetes JIRA Rally Confluence AWS Feature engineering Modeling training Hyperparameter tuning Distributed model training Supervised learning Unsupervised learning

What you'll do

Develop and manage large-scale data structures and pipelines.
Build efficient ETL workflows to address complex business problems.
Utilize Jenkins, GIT, Docker/Kubernetes for CI/CD processes.
Implement feature engineering and machine learning models in AWS.
Conduct hyperparameter tuning and distributed model training.

What we're looking for

Master’s degree in Computational Science, Data Science, Statistics, Mathematics, Analytics, or related field.
Completion of graduate-level coursework in CI/CD, Jenkins, GIT, Python, Docker/Kubernetes.
Experience with JIRA, Rally, Confluence for project management.
Proficiency in Amazon Web Services (AWS) and feature engineering.
Expertise in modeling training, hyperparameter tuning, distributed model training, supervised and unsupervised learning.

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