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# Sr. Data Engineer

- **Company:** CVS Health
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $179,296.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Data Analysis, Big Data, Business Software, Code Review, Computer Programming, Databases, Extract Transform Load (ETL), Data Mart, Data Warehousing, IBM DB2, Dynamical Systems, Apache Hadoop, Hadoop Distributed File System, Python (Programming Language), Oracle Databases, SAS (Software), Software Engineering, SQL Databases, Teradata SQL, Information Technology, Data Pipelines
- **Published:** June 22, 2026
- **Apply:** https://dejobs.org/x/x/187F732E347B47868F9E68C8C82537B6/job/

## About the Role

Requirements: Bachelor's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, Engineering, or a related field and five (5) years of progressive, postbaccalaureate experience in the job offered or related occupation. Requires five (5) years of experience in each of the following:

 * SAS or SQL programming languages;

 * Databases: Oracle, Teradata, or DB2;

 * Agile methodologies;

 * Software Development Life Cycle (SDLC);

 * Domain support for healthcare or retail organization;

 * Writing application code and deploying to production;

 * Developing backend services, performing code reviews, and collaborating with peers on software development solutions;

 * Writing Extract/Transform/Load (ETL) processes;

 * Designing data models and solutions for analytical and reporting use cases; and

 * Data warehousing.

## Description

Position Summary: CVS Pharmacy, Inc., a CVS Health company, is hiring for the following role in Woonsocket, RI: Sr. Data Engineer to develop, build, and manage large-scale data structures, pipelines, and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications. Duties include: develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs; write ETL (Extract/Transform/Load) processes, design database systems, and develop tools for real-time and offline analytic processing that improve existing systems and expand capabilities; collaborate with Data Science team to transform data and integrate algorithms and models into automated processes; test and maintain systems and troubleshoot malfunctions; leverage knowledge of Hadoop architecture, HDFS commands, and designing and optimizing queries to build data pipelines; utilize programming skills in Python, Java, or
similar languages to build robust data pipelines and dynamic systems; build data marts and data models to support Data Science and other internal customers; integrate data from a variety of sources and ensure adherence to data quality and accessibility standards; analyze current information technology environments to identify and assess critical capabilities and recommend solutions to complex business problems; and experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case. Telecommuting available. Multiple positions.


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