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# Data Engineer

- **Company:** CVS Health
- **Location:** Irving, TX, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $141,336.0 - $144,200.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Business Software, Code Review, Computer Programming, Databases, Extract Transform Load (ETL), Data Mart, Data Visualization, Dynamical Systems, Apache Hadoop, Hadoop Distributed File System, Python (Programming Language), Power BI, SAS (Software), Software Engineering, SQL Databases, Tableau (Software), Google Cloud, Apache Spark, Backend, Pyspark, Information Technology, Data Pipelines
- **Published:** August 20, 2026
- **Apply:** https://dejobs.org/x/x/9C1F6D3DEFCB44359F30904827E11CF8/job/

## About the Role

Master's degree (or foreign equivalent) in Computer Science, Information Technology, Statistics, Analytics, Engineering, 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:

"Big data" platforms including: Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP);

SAS or SQL programming languages;

Visualization tools, including PowerBI or Tableau;

Spark, PySpark, or Scala;

Extract/Transform/Load (ETL) processes;

Writing application code and deploying to production; and

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

## Description

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.

Hybrid position: remote work permitted but must live within commuting distance of designated office location and remain available to report to office as needed and required.


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