Senior Data Engineer

CVS Health

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $83,430–$222,480 / yr
Posted: 3 days ago
Closes: Jul 31, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $171k

This role $153k

$67k most similar roles pay here $239k

This role pays less than 70% of similar roles. Most pay $137,450–$205,000 — the shaded band above. At the midpoint, this role pays about $153k versus about $171k for comparable roles.

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 136 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 131 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Senior Data Engineer

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CVS Health seeks a Senior Data Engineer to join its DevOps team, focusing on integrating security into the software development lifecycle and maintaining CI/CD environments. This role involves designing and implementing automation using AI technologies to enhance performance and efficiency through close collaboration with development and IT operations teams. The ideal candidate has over five years of experience in Python coding, solution and software development, and a deep understanding of DevOps/MLOps principles. They should also be proficient in TensorFlow, PyTorch, and AWS cloud platforms, along with experience in model deployment, CI/CD pipeline implementation, and infrastructure as code tools like Terraform. The position requires expertise in monitoring and observability tools such as Prometheus and Grafana, and familiarity with Databricks and other development tools for cloud environments.

Skills

Python TensorFlow PyTorch AWS CI/CD MLOps GitHub Actions Terraform Databricks MLflow SageMaker Prometheus Grafana Kubernetes Docker

What you'll do

Design and implement security tools and processes for CI/CD environments.
Automate software development workflows using the latest AI technologies.
Manage cloud resources and environments using AWS and other platforms.
Develop and maintain MLOps pipelines, including model deployment and serving.
Implement CI/CD pipelines for machine learning projects and automation.

What we're looking for

5+ years of coding experience with Python and expertise in software development.
Deep understanding of DevOps/MLOps principles and practices.
Extensive experience with TensorFlow and PyTorch, preferred AWS cloud platform knowledge.
At least 5 years managing resources in a cloud computing environment.
Proven ability to manage the production lifecycle of an MLOps pipeline.

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