Data Engineer

CVS Health•Richardson, TX

4d•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: CVS Pharmacy, Inc., a CVS Health company, is hiring for the following role in Richardson, TX: 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.

Requirements

Java, Python, Python Flask, Python Django or Node.js
Agile methodologies or SAFe Software Development Principles
Cloud technologies: Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP)
Teradata
Docker or Kubernetes
Teradata, SQL, MySQL or NoSQL
GCP Vertex AI, GCP Agent Engine, Google Agent Development Kit
Software development lifecycle (SDLC)
Software testing, quality assurance, and troubleshooting
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
Data Engineering pipeline using Apache Airflow, Pub/Sub streaming, Security architecture

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 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
experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case
design, develop, and implement scalable data engineering pipelines leveraging Generative AI frameworks to enable deterministic, auditable, and reproducible data transformations and actions
design full-stack development initiatives using React, TypeScript, and Python microservices, delivering high-performance web applications and backend services
integrate machine learning capabilities into data platforms for predictive analytics