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# Data Engineer

- **Company:** CVS Health
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $114,379.0 - $144,200.0
- **Contract:** Permanent contract
- **Skills:** Testing (Software), HTML, Java (Programming Language), JavaScript (Programming Language), Airflow, Amazon Web Services, Data Analysis, Confluence, JIRA, Microsoft Azure, Big Data, Business Software, Cascading Style Sheets (CSS), Cloud Computing, Computer Programming, Databases, Continuous Integration, Extract Transform Load (ETL), Data Mart, Relational Databases, Dynamical Systems, Apache Hadoop, Hadoop Distributed File System, Apache HBase, Information Management, JSON, Python (Programming Language), Tableau (Software), Extensible Markup Language (XML), Google Cloud, Apache Spark, Git, Pyspark, Information Technology, Apache Kafka, Data Pipelines, Jenkins
- **Published:** June 22, 2026
- **Apply:** https://dejobs.org/x/x/1C930F17462549A9A19CAE2965DDD830/job/

## About the Role

Requirements: Master's degree (or foreign equivalent) in Computer Science, Information Management, Engineering, Statistics, or a related field and two (2) years of experience in the job offered or a related occupation. Also requires two (2) years of experience with each of the following: CI/CD, Jenkins, and GIT; Programming in Java, Python, or R; XML, JSON, HTML, CSS, or JavaScript; Cloud technologies: Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP); JIRA, Rally, or Confluence; Software testing, quality assurance, and troubleshooting; Extract/Transform/Load (ETL) processes; Building dashboards in Tableau; Spark, Airflow, Kafka, Hbase, or PySPark; and Relational database concepts

## Description

Position Summary: Caremark LLC, a CVS Health company, is hiring for the following role in Irving, TX: Data Engineer to analyze data engineering problems and 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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