Data Engineer

CVS Health

Remote

Quick summary

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

Market check

Salary context

How this pay compares to similar roles

Similar $163k
$110k most similar roles pay here $210k

This listing doesn't post a salary. Most similar roles pay $126,800–$199,050.

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.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Data Engineer

CVS Pharmacy is seeking a senior-level Data Engineer in Richardson, TX, to develop large-scale data structures and pipelines for complex problem-solving and business application support. This role involves writing ETL processes, designing database systems, and developing tools for real-time and offline analytic processing, while collaborating with the Data Science team to integrate algorithms into automated workflows. The ideal candidate will have expertise in Python, Java, or similar languages, experience with cloud technologies like AWS and GCP, and knowledge of Hadoop architecture and SQL databases. They will build data marts and models, ensure data quality standards are met, and experiment with new tools for optimal solutions. Additionally, the role requires designing scalable data engineering pipelines using Generative AI frameworks and integrating machine learning capabilities into data platforms for predictive analytics, all while adhering to healthcare or retail domain requirements.

What you'll do

  • Develop large-scale data structures and pipelines to organize and standardize complex datasets.
  • Write ETL processes and design database systems for real-time and offline analytic processing.
  • Collaborate with the Data Science team to integrate algorithms into automated data workflows.
  • Test and maintain data systems, troubleshooting malfunctions to ensure high performance.
  • Build scalable data engineering pipelines using Generative AI frameworks for reproducible transformations.
  • Design full-stack development initiatives using React, TypeScript, and Python microservices.
  • Integrate machine learning capabilities into data platforms for predictive analytics applications.

What we're looking for

  • 5+ years of experience in Java, Python (Flask/Django), or Node.js
  • Expertise in Agile methodologies and SAFe Software Development Principles
  • Proficiency with cloud technologies including Azure, AWS, and GCP
  • Experience with Teradata, SQL, MySQL, and NoSQL databases
  • Knowledge of Docker/Kubernetes for containerization and orchestration
  • Background in healthcare or retail domain support
  • Skills in data engineering pipelines using Apache Airflow and Pub/Sub streaming
  • Experience in software testing, quality assurance, and troubleshooting

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