Data Engineer

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Position Summary

If you’re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.

At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products / software with a customer-first mindset and team-oriented approach.

As a Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints.

As a Data Engineer, you will:

• Understands the Enterprise data systems and acquires knowledge on the relevant processes need for project delivery.
• Participate in project estimation process and provide inputs to Tech Lead.
• Participate in Agile scrum activities/project status meetings on regular basis.
• Participate in User story grooming/Design discussion with technical lead.
• Analyzes complex Data structure from disparate data sources and design large scale data engineering pipeline.
• Uses strong programming skills to build robust data pipelines for ETL (Extract / Transform / Load) processes, designs database systems and develops tools for data processing.
• Perform all Data Engineering job activities EDW/ETL project development/testing and deployment activities.
• Work closely with the developers on the ETL Jobs/Pipelines development.
• Create the Project process/automation by integrating the involved components.
• Documents data engineering processes, workflows, and systems for reference and knowledge-sharing purposes.
• Implements data quality checks and validation processes to ensure the accuracy, completeness, and consistency of the data.
• Be a team player and work with team members for Business solution and implementation.

As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.

Required Qualifications

• 1+ years of Experience in executing Data warehousing ETL projects.
• 1+ years of Experience with Python
• 1+ years of Experience with SQL
• 1+ years of experience with ETL/ELT, and building high-volume batch/realtime data pipelines
• 1+ years of hands-on Experience with bash shell scripts, UNIX utilities & UNIX Commands
• 1+ years of hands-on Experience with a major cloud platform (GCP, AWS, Azure)

Preferred Qualifications

• Experience with complex systems and solving challenging analytical problems
• Strong collaboration and communication skills within and across teams
• Knowledge of data visualization and reporting tools
• Implementation experience in building real time or near real time data pipelines using pub/sub or change data capture
• Knowledge on AI/ML model building using various libraries in Python along with data wrangling/data preparation experience
• Experience with Git, CI/CD pipeline, and other DevOps principles/best practices

• Experience with bash shell scripts, UNIX utilities & UNIX Commands
• Understanding of software development methodologies including waterfall and agile.
• Ability to leverage multiple tools and pro