Data Engineer

CVS Health

Remote

Quick summary

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

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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.

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At a glance

TL;DR · Data Engineer

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Caremark LLC., a CVS Health company, is seeking a Data Engineer in Irving, TX to analyze complex data engineering problems and develop scalable solutions. This role involves building and managing large-scale data structures and pipelines, implementing efficient ETL workflows, and supporting business applications through advanced analytics. The ideal candidate will have expertise in Java, Python, or R, experience with cloud platforms like AWS or GCP, proficiency in tools such as Spark, PySpark, Airflow, Kafka, MySQL, PowerBI, Tableau, and D3, and a strong background in developing backend services and collaborating on software development. The position requires contributing to large-scale data analytics projects in the healthcare sector, enhancing data platform capabilities, and supporting technology modernization initiatives.

Skills

Python Java R AWS GCP Spark PySpark Airflow Kafka MySQL PowerBI Tableau ArcGIS Excel Powerview D3 CI/CD

What you'll do

Develop and manage large-scale data structures and pipelines using AWS or GCP.
Design efficient ETL workflows to address complex business problems.
Contribute to the development of backend services and perform code reviews.
Support largescale applications in healthcare, business, or retail sectors.
Analyze large datasets to provide insights for business applications.
Develop data analytics-based platform capabilities and services.

What we're looking for

Master’s degree in Computer Science, Electrical Engineering, Business Analytics, or related field required.
Proficiency in Java, Python, R, AWS, GCP, Spark, PySpark, Airflow, Kafka, MySQL.
Experience with data visualization tools like PowerBI, Tableau, ArcGIS, Excel Powerview, D3.
Expertise in backend development, code reviews, and software collaboration.
Contributions to large-scale applications in data science or analytics projects.
Data analytics experience on large datasets in healthcare, business, or retail sectors.

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