Data Engineer

CVS Health•Irving, TX

1d•Onsite

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: 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 Google Cloud platform architecture, Google Cloud Services, 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

CI/CD, Jenkins, GIT, or DevOps
Java, Python, or Node.js
Agile methodologies or SAFe Software Development Principles
Hibernate or Oracle
JIRA, Rally, or Confluence
Cloud technologies: Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP)
Software development lifecycle (SDLC)
Domain support for healthcare or retail organization
Writing application code and deploying to production
Developing backend services, performing code reviews, and collaborating with peers on software development solutions
Relational database concepts
Software development best practices
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 Google Cloud platform architecture, Google Cloud Services, 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.