Senior Data Engineer

CVS Health

Remote

Quick summary

Work type
Remote
Location
Remote
Posted
6 days ago
Closes
Jul 6, 2026

Market check

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 409 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 135 roles with salary data.

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At a glance

TL;DR · Senior Data Engineer

As a Senior Data Engineer on the AI platform team, you will design, build, and manage large-scale data pipelines and backend services to support analytics, machine learning, and AI initiatives. Your daily tasks include collecting, organizing, and standardizing data for reporting, designing database schemas, integrating data from multiple sources while ensuring quality standards, and developing scalable data pipelines using workflow orchestration tools like Apache Airflow. You will also build secure API services for AI applications, collaborate with infrastructure teams to automate workflows, support large language model integration efforts, and contribute to platform capabilities for governance and compliance tracking. Key skills include Python programming, experience with Google Cloud Platform or similar cloud services, BigQuery or Snowflake data warehouses, FastAPI or Flask web frameworks, CI/CD pipelines, SQL, relational databases, Unix/Linux scripting, and Git version control. This role involves analyzing current IT environments to identify performance bottlenecks and cost drivers, implementing software engineering best practices, and mentoring junior team members.

What you'll do

  • Design and manage large-scale data pipelines to support analytics and AI initiatives.
  • Develop database schemas and models for internal reporting and analytics.
  • Integrate data from multiple sources while maintaining quality and accessibility standards.
  • Build backend API services with secure authentication, storage, and logging features.
  • Support LLM integration efforts by engineering prompts and building applications.
  • Analyze IT environments to identify performance bottlenecks and recommend solutions.
  • Implement CI/CD pipelines and conduct thorough code reviews for software projects.

What we're looking for

  • Master’s degree in Computer Science or related field required
  • 2+ years of Python programming for data engineering and backend development
  • 1+ year experience with Google Cloud Platform (GCP) or similar cloud services
  • Expertise in BigQuery, Snowflake, or equivalent cloud data warehouses
  • Experience using Apache Airflow or similar workflow orchestration tools
  • Proficient in building and operating large-scale data pipelines
  • Strong SQL skills for data querying and transformation required

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