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

Market check

Salary context

How this pay compares to similar roles

Similar $168k

$128k most similar roles pay here $211k

This listing doesn't post a salary. Most similar roles pay $135,750–$199,900.

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 · Senior Data Engineer

Role Posting Log in to save

Caremark LLC, a CVS Health company, seeks a Senior Data Engineer in Woonsocket, RI, with telecommuting options available, to develop and manage large-scale data structures and pipelines for complex business problems. The role involves building efficient ETL workflows using cutting-edge technologies such as Python, Spark, Airflow, PySpark, HDFS, Teradata, Docker, Kubernetes, Google Cloud Platform (GCP), and Tableau within an Agile environment. Candidates must have a Master’s degree in Computer Science or related fields and two years of relevant experience with CI/CD practices, Git, and big data implementation. This position supports the company's extensive healthcare analytics initiatives at scale, requiring expertise in both technical development and business application support.

Skills

Python Kubernetes Docker Git CI/CD Teradata Google Cloud Platform Hadoop SQL Tableau Spark Airflow PySpark HDFS Rally

What you'll do

Develop and manage large-scale data structures and pipelines using advanced technologies like Hadoop and Spark.
Build efficient ETL workflows to address complex business problems and support applications.
Implement big data solutions utilizing tools such as Docker, Kubernetes, and Google Cloud Platform.
Utilize Python, PySpark, and Airflow for automating data processing tasks in a CI/CD environment.
Ensure data integrity and accessibility through the use of SQL, Teradata, and Tableau.

What we're looking for

Master’s degree in Computer Science or a related field and 2 years of relevant experience.
Expertise in Python, Agile methodologies, and CI/CD practices.
Proficiency with Teradata, Hadoop, SQL, and Tableau for data management.
Experience with Docker, Kubernetes, Google Cloud Platform, and big data technologies.
Knowledge of Spark, PySpark, Airflow, and HDFS for efficient ETL workflows.

Save