Data Engineer

CVS Health

Remote

Quick summary

Work type
Remote
Location
Irving, TX
Posted
6 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 407 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 133 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Data Engineer

Caremark, LLC is seeking a Data Engineer to join its Irving, TX team, with the option for telecommuting. This senior-level role involves developing and managing large-scale data structures and ETL workflows to support complex business applications. The ideal candidate will have extensive experience in machine learning operations, including model versioning and deployment, as well as designing data models for analytical use cases. Key responsibilities include implementing CI/CD pipelines with Jenkins and Git, programming in Python or SQL, and working with technologies like Spark, Airflow, Kafka, and HBase. The role also requires expertise in quantitative analysis techniques, software development lifecycle processes, and cloud management. Candidates should have a Master’s degree in Computer Science or related field and experience in healthcare data management, including standards and privacy regulations.

What you'll do

  • Develop and manage large-scale data structures and ETL workflows to address complex problems.
  • Design data models and solutions for analytical and reporting use cases in healthcare or business sectors.
  • Implement machine learning operations including model versioning, lineage tracking, and deployment orchestration.
  • Contribute to large-scale applications development, data science, and analytics projects using Python, R, SQL.
  • Design data architectures involving pipelines, distributed computing engines, and machine learning infrastructure.

What we're looking for

  • Master’s degree in Computer Science or related field required.
  • 2 years of experience in machine learning operations and model deployment.
  • Expertise in designing data models for analytical and reporting use cases.
  • Proficiency in Python, R, SQL, Spark, Airflow, Kafka, and cloud components.
  • Experience with quantitative analysis techniques and software development lifecycle.
  • Knowledge of healthcare data management processes and data privacy standards.
  • Contributed to large-scale applications development in data science or analytics.

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