Cloud Engineer

CVS Health

Remote

Quick summary

Work type: Remote
Location: Irving, TX
Posted: 5 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 $173k

$110k most similar roles pay here $215k

This listing doesn't post a salary. Most similar roles pay $142,400–$203,500.

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.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Cloud Engineer

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Caremark LLC., a CVS Health company, seeks a Cloud Engineer in Irving, TX, with the option for telecommuting, to build and maintain cloud-native software applications supporting business needs and end customers. This role involves programming in Java, Python, or R, designing data pipelines using SAS or SQL, writing ETL processes, and leveraging Azure, AWS, or GCP for cloud technologies. The ideal candidate will also have experience with machine learning algorithms and designing robust data architectures including distributed computing engines and infrastructure. With a Master’s degree in Computer Science, Engineering, Information Technology, or related field and six months of relevant experience, the successful applicant will contribute to CVS Health's scalable and innovative solutions within the healthcare industry.

Skills

Java Python R SAS SQL AWS Azure GCP ETL Machine Learning Data Architecture Distributed Computing Engines

What you'll do

Develop cloud-native software applications using Java, Python, or R.
Design and optimize queries for efficient data pipeline construction.
Write ETL processes to manage data extraction, transformation, and loading.
Implement machine learning algorithms in cloud environments like AWS or Azure.
Create scalable data architectures including pipelines and distributed computing engines.

What we're looking for

Master’s degree in Computer Science or related field required.
Six months of experience programming in Java, Python, or R.
Six months of experience with SAS and SQL for data manipulation.
Experience designing and optimizing queries for data pipelines.
Expertise in ETL processes and cloud technologies (Azure, AWS, GCP).
Knowledge of machine learning algorithms and infrastructure design.
Skills in designing data architectures including distributed computing engines.

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