Senior Data Engineer

CVS Health

Remote

Quick summary

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

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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

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We are seeking a Senior Data Engineer with a master’s degree in Computer Science or related field for our dynamic team focused on healthcare data management and analytics. In this role, you will apply software development best practices and agile methodologies to build scalable data architectures using technologies like Java, Python, R, Spark, PySpark, Scala, and Databricks. Your daily tasks include designing ETL processes, managing cloud components such as cluster management in Azure or AWS, and contributing to large-scale healthcare analytics projects. You will also ensure compliance with data privacy standards while working on complex data pipelines and machine learning infrastructure. Ideal candidates have experience in the healthcare sector and a strong background in big data analytics and cloud computing.

Skills

Python Java R AWS Azure GCP SQL SAS Spark PySpark Scala Databricks ETL Agile SAFe CI/CD Kubernetes PostgreSQL Healthcare_data_management

What you'll do

Develop software using best practices and agile methodologies.
Analyze large datasets in healthcare or business sectors.
Implement ETL processes on cloud platforms like AWS or Azure.
Design data architectures including distributed computing engines.
Contribute to large-scale applications development projects.
Manage cloud components such as cluster management systems.
Apply knowledge of healthcare data privacy standards and techniques.

What we're looking for

Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field required.
One year of experience in software development best practices and Agile methodologies.
Proficiency in Java, Python, R, SQL, SAS, Spark, PySpark, Scala, and Databricks.
Experience with cloud platforms like Azure, AWS, GCP, including ETL processes and cluster management.
Contributed to large-scale applications development, data science, or analytics projects.
Designed complex data architectures, pipelines, distributed computing engines, and machine learning infrastructure.

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