About CVS Health
At CVS Health, everything starts with our vision to reimagine health care by putting people at the center of all we do and redefine health care in America. Our strategy is focused on making bold moves to deliver solutions that are personalized, connected and increasingly digital.
To execute on our vision and strategic imperatives, the Enterprise Data Services & Operations (EDSO) team is focused on building a modern, connected data ecosystem that accelerates the use of data, analytics, and advanced AI. We are looking for passionate and motivated Data Engineers to join our growing team of engineers. We are on a mission to transform technology and health care and you will play a pivotal role in executing our strategies and making our vision come true.
Responsibilities
- Develops scalable, repeatable and secure data structures and pipelines to organize, collect, standardize and integrate data that facilitate more complete, accurate and consistent data for insights and reporting
- Builds efficient, high quality, integrated and increasingly real-time ETL/ELT processes using tools, programming languages and services
- Delivers data capabilities and new data products to accelerate investments in data and democratize data across the enterprise and within the Health Care Business unit
- Collaborates with data science team to transform data and integrate algorithms and models into automated processes
- Builds data models, data marts and extracts to support Data Science, internal customers and third-party administrators
- Analyzes data, understands complex systems and solves challenging data sourcing and integration problems
- Promotes engineering excellence by simplifying, optimizing, and automating processes and workflows
- Innovates by leveraging and practicing agile techniques to achieve efficiency, boost productivity and improve processes
Required Qualifications
- 2+ years of hands-on experience building and deploying data pipelines using Python and any ETL tool
- 2+ years experience with SQL
- 2+ years work experience with Relational databases (Db2, SQL Server or similar) or Hadoop
Preferred Qualifications
- Experience building ETL data pipelines in Ab-Initio, Data Stage or equivalent technology
- Experience in GCP Cloud services such as Big Query, Composer, Airflow or DataProc
- Experience with PySpark
- Experience with bash shell scripts, UNIX utilities & UNIX Commands, CI/CD
- Agile practice experience with methodologies like SAFe
- Healthcare domain experience
Education
Bachelor's degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline. Master’s degree or PhD preferred.