Staff 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 $176k

$130k most similar roles pay here $222k

This listing doesn't post a salary. Most similar roles pay $139,075–$213,375.

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 407 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 133 roles with salary data.

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At a glance

TL;DR · Staff Data Engineer

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Caremark, LLC., a CVS Health company, seeks a Staff Data Engineer in Woonsocket, RI, with the opportunity for telecommuting. This role involves developing and managing large-scale data structures and pipelines to support complex business applications. The ideal candidate will conduct requirement analysis, design end-to-end solutions, and implement high-performance software applications using technologies such as Spark, PySpark, Scala, Hadoop, Hive, Unix/Linux shell scripting, and big data frameworks. With a background in Computer Science or related fields and five years of relevant experience, the successful applicant will work on large-scale systems that handle high volumes of data, contributing to CVS Health’s extensive healthcare solutions.

Skills

Spark PySpark Scala Hadoop Hive Unix Linux Shell scripting Big data ETL AWS Kubernetes Docker CI/CD Python Java SQL PostgreSQL Git Jenkins

What you'll do

Design and develop large-scale, high-performance data structures for complex business problems.
Implement and maintain efficient ETL workflows using Spark, PySpark, or Scala.
Analyze requirements to create end-to-end solutions for software applications.
Utilize Hadoop and Hive for big data implementation and management.
Write Unix, Linux, or Shell scripts to automate tasks in data processing pipelines.

What we're looking for

Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, Information Technology, or related field required.
Five years of experience in requirement analysis and design for end-to-end software solutions.
Five years of experience designing high-volume, high-performance data structures.
Expertise in Spark, PySpark, Scala, Hadoop, and Hive.
Proficiency in Unix, Linux, and Shell scripting.
Experience implementing big data solutions.

Staff Data Engineer

JLL (Jones Lang LaSalle)

Chicago, IL +1 31 days ago $160,000–$200,000

Python AWS Azure GCP MCP LangChain LangGraph AutoGen CrewAI SemanticKernel Pinecone Weaviate pgvector Docker Kubernetes GitHub Actions Airflow Prefect dbt CI/CD Prometheus Grafana

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