Senior Data 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 $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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Senior Data Engineer position available for a dynamic team focused on building scalable data solutions. This role involves designing and implementing robust data pipelines, integrating diverse data sources into the company’s data warehouse, and ensuring high-quality data governance practices. The ideal candidate will have hands-on experience with cloud-based technologies such as AWS or Azure, proficiency in SQL, Python, and ETL tools like Apache Airflow. Additionally, knowledge of big data frameworks like Hadoop and Spark is highly desirable. This role addresses the growing need for efficient data management and analytics within a fast-paced tech environment, where you will play a crucial part in driving data-driven decision-making processes across various business units.

Skills

Data Warehousing SQL ETL Hadoop Spark AWS Azure Google Cloud Platform Docker Kubernetes CI/CD Git Python R PostgreSQL Snowflake Tableau Power BI

What you'll do

Design and maintain data warehouse architecture.
Implement ETL processes for data integration.
Optimize database performance and storage efficiency.
Ensure data quality and integrity across systems.
Develop reporting tools and dashboards for analytics.

What we're looking for

Minimum 5 years of experience in data warehousing and ETL processes.
Strong proficiency in SQL, Python, and scripting languages for data manipulation.
Experience with cloud-based data storage solutions like AWS or Azure.
Excellent problem-solving skills and ability to work independently.
Bachelor’s degree in Computer Science, Information Technology, or related field.

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