Staff Data Engineer

CVS HealthIrving, TX
$157,414 - $236,900Onsite

About The Position

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary: Caremark LLC, a CVS Health company, is hiring for the following role in Irving, TX: Staff Data Engineer to design, build and manage large scale data structures, pipelines and efficient Extract/Load/Transform (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 (Extract/Transform/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. Multiple positions.

Requirements

  • Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Information Systems, Data Science, Statistics, Mathematics, Analytics, or a related field and five (5) years of experience in the job offered or related occupation.
  • Five (5) years of experience in CI/CD, Jenkins, GIT, or DevOps
  • Five (5) years of experience in Python, or Node.js
  • Five (5) years of experience in XML, JSON, HTML, CSS, or JavaScript
  • Five (5) years of experience in REST, SOAP, or Web Service APIs
  • Five (5) years of experience in JIRA, Rally, or Confluence
  • Five (5) years of experience in Cloud technologies: Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP)
  • Five (5) years of experience in Java or J2EE
  • Five (5) years of experience in SQL or MySQL
  • Five (5) years of experience in Software development lifecycle (SDLC)
  • Five (5) years of experience in Domain support for healthcare or retail organization
  • Five (5) years of experience in Developing backend services, performing code reviews, and collaborating with peers on software development solutions
  • Five (5) years of experience in Relational database concepts
  • Five (5) years of experience in Software development best practices
  • Five (5) years of experience in Contributing to large-scale applications development, data science, or data analytics projects

Responsibilities

  • 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
  • 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
  • Experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case

Benefits

  • medical
  • dental
  • vision
  • 401(k) retirement savings plan
  • Employee Stock Purchase Plan
  • fully-paid term life insurance plan
  • short-term and long term disability benefits
  • well-being programs
  • education assistance
  • free development courses
  • CVS store discount
  • discount programs with participating partners
  • Paid Time Off (PTO)
  • vacation pay
  • paid holidays
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service