Data Engineer

at  CVS Health

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.
Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.

POSITION SUMMARY

Designs, builds, and maintains the data infrastructure that supports the organization’s data-related initiatives. Collaborates with cross-functional teams, including data scientists, analysts, and software engineers, to ensure the efficient and reliable processing, storage, and retrieval of data. Develops scalable data pipelines, optimizes data workflows, and ensures the quality and integrity of the data.

What you will do:

• Designs scalable and efficient data pipelines to extract, transform, and load data from various sources into data warehouses or data lakes.
• Develops data pipelines that enable efficient data storage, retrieval, and analysis.
• Implements data validation and quality checks to identify and address data anomalies or errors.
• Documents data engineering processes, workflows, and systems for reference and knowledge-sharing purposes.

Data Management Development Team Mission Statement - It is the Data Management Development team’s mission to simplify the collection, management, and dissemination of data to and for our consumers at a speed that exceeds expectations while maintaining exceptional security, quality and integrity

REQUIRED QUALIFICATIONS

• 2+ years software development experience
• 24x7 on-call participation approximately every 6 weeks.

PREFERRED QUALIFICATIONS

• DataStage experience
• db2 experience
• Python experience
• MarkLogic experience
• Tableau experience
• SQL Server experience
• Windows experience
• Linux experience
• Agile experience

EDUCATION

Bachelor’s Degree or equivalent experience (HS diploma + 4 years relevant experience)

• Designs scalable and efficient data pipelines to extract, transform, and load data from various sources into data warehouses or data lakes.
• Develops data pipelines that enable efficient data storage, retrieval, and analysis.
• Implements data validation and quality checks to identify and address data anomalies or errors.
• Documents data engineering processes, workflows, and systems for reference and knowledge-sharing purposes