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# Sr Data Engineer

- **Company:** CVS Health
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $130,832.0 - $185,400.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Airflow, Big Data, Business Software, Cloud Computing, Information Systems, Computer Programming, Databases, Continuous Integration, Extract Transform Load (ETL), Data Mart, Dynamical Systems, Apache Hadoop, Hadoop Distributed File System, Python (Programming Language), SQL Databases, Tableau (Software), Teradata SQL, Google Cloud, Enterprise Software Applications, Apache Spark, Git, Pyspark, Information Technology, Data Analytics, Data Pipelines, Docker
- **Published:** June 22, 2026
- **Apply:** https://dejobs.org/x/x/B38FED11640F492B887810393B76743D/job/

## About the Role

Requirements: Master's degree (or foreign equivalent) in Computer Science, Information Technology, Business or Financial Analytics, Information Systems, or Quantitative Analytics, or a related field and two (2) years of experience in the job offered or related occupation. Requires two (2) years of experience in each of the following:

 * CI/CD and GIT;

 * Python and Agile methodologies;

 * Teradata;

 * Docker and Kubernetes;

 * Rally;

 * Google Cloud Platform (GCP)

 * Hadoop, SQL, and Tableau;

 * Spark, Airflow, PySpark, and HDFS;

 * Contributing to large-scale applications development, data science, or data analytics projects;

 * Data Analytics on large data sets in healthcare, business, or retail sector;

 * Cloud components including cluster management;

 * Big Data implementation; and

 * Supporting large data, analytics, and technology modernization initiatives.

## Description

Position Summary: Caremark LLC, 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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