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# Sr. Data Engineer

- **Company:** CVS Health
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $147,680.0 - $185,400.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Data Analysis, JIRA, Microsoft Azure, Business Software, Computer Programming, Databases, Extract Transform Load (ETL), Data Mart, Microprocessors, Dynamical Systems, Apache Hadoop, Hadoop Distributed File System, JSON, Python (Programming Language), Software Engineering, Teradata SQL, Graphics Processing Unit (GPU), Enterprise Software Applications, Information Technology, Data Analytics, Data Pipelines
- **Published:** June 22, 2026
- **Apply:** https://dejobs.org/x/x/39E0D8BAA8EF466FA2107EDD74C3921D/job/

## About the Role

Requirements: Bachelor's degree (or foreign equivalent) in Computer Information Systems, Analytics, Data Science, Statistics, Business, Mathematics or a related field and five (5) years of progressive, post-baccalaureate experience in the job offered or related occupation. Requires five (5) years of experience in each of the following: JSON; Agile Methodologies and SAFe Software Development Principles; Teradata; JIRA and Rally; Azure; Hadoop and HDFS; Infrastructure components: GPUs or CPUs; Domain support for healthcare or retail organization; Contributing to large-scale applications development, data science, or data analytics projects; and Data analytics on large data sets in healthcare, business or retail sector.

## Description

Position Summary: CVS Pharmacy Inc., a CVS Health company, is hiring for the following role in Woonsocket, RI: Sr. Data Engineer to design, build and manage large scale data structures, pipelines and efficient Extract/LoadfTransform (ETL) workflows to 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 (ExtractfTransform/Load) processes, design database systems, and develop tools for real-time and offline analytic processing; collaborate with Data Science team to transform data and integrate algorithms and models into automated processes; 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; 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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