Staff Cloud Engineer

CVS Health

Remote

Quick summary

Work type: Remote
Location: Woonsocket, RI
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 $183k

$122k most similar roles pay here $236k

This listing doesn't post a salary. Most similar roles pay $151,106–$214,500.

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 · Staff Cloud Engineer

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As a Staff Cloud Engineer at CVS Pharmacy in Woonsocket, RI, you will design, build, and maintain cloud-native software web applications to support business needs. Your day-to-day responsibilities include collaborating with peers to develop cutting-edge enterprise solutions, ensuring the performance of website tests, and mitigating risks before deployment. You will also create databases for web applications, implement data ingestion pipelines using big-data components like HBase and Spark, and operationalize machine learning models for broad consumption. The role requires expertise in Java, Python, Scala, Docker, SpringBoot, CI/CD tools such as Jenkins, Git, and Agile methodologies. This position involves working on enterprise-scale datasets and developing cost-effective solutions to reduce technical debt while ensuring high-quality code development.

Skills

Java Python Docker SpringBoot Scala Spark Hive Pig Kafka CI/CD Jenkins GIT Agile SAFe ETL Tableau

What you'll do

Design and build cloud-native web applications using scripting languages and digital media tools.
Develop databases to support web applications and perform regular performance tests.
Translate business requirements into technical specifications for software solutions.
Implement data ingestion pipelines and create machine learning infrastructure for enterprise datasets.
Test code rigorously to ensure quality and absence of defects before deployment.

What we're looking for

Master’s degree in Computer Science or related field required
2 years of experience with Java, Python, Scala, Spark, Docker, SpringBoot
2 years working with Big Data tools like Hive, Pig, Kafka
2 years of experience in Agile methodologies and SAFe principles
Expertise in ETL processes and software testing/QA/troubleshooting
Experience with CI/CD pipelines, Jenkins, GIT, and DevOps practices

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