Data Engineer, Healthcare Analytics & GCP

About the position

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 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.

Responsibilities

• Design, develop, and maintain optimal data pipelines to assemble large and intricate datasets.
• Engage with complex business challenges and harness modern tools and technologies.
• Securely store, process, transform, and enrich terabyte to petabyte scale healthcare data.
• Craft tools to provide actionable insights and integrate them with consumer touchpoints.
• Collaborate closely with cross-functional teams in a dynamic and agile environment.

Requirements

• 1+ years of experience with SQL, NoSQL
• 1+ years of experience with Python (or a comparable scripting language)
• 1+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components
• 1+ years of experience with ETL/ELT, and building high-volume data pipelines
• 1+ years of experience with reporting/analytic tools
• 1+ years of experience with query optimization, data structures, transformation, metadata, dependency, and workload management
• 1+ years of experience with Big data and cloud architecture

Nice-to-haves

• Experience with complex systems and solving challenging analytical problems
• Strong collaboration and communication skills within and across teams
• Knowledge of data visualization and reporting
• Experience in designing and building data engineering solutions in cloud environments (preferably GCP)
• 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 programming languages to analyze and manipulate data sets from disparate data sources
• Knowledge of API development
• Experience with schema design and dimensional data modeling
• Google Professional Data Engineer Certification
• Knowledge of microservices and SOA
• Formal SAFe and/or agile experience.
• Previous healthcare experience and domain knowledge
• Experience designing, building, and maintaining data processing systems
• Experience architecting and building data warehouse and data lakes

Benefits

• Full range of medical, dental, and vision benefits
• 401(k) retirement savings plan
• Employee Stock Purchase Plan
• Fully-paid term life insurance plan
• Short-term and long-term disability benefits
• Numerous well-being programs
• Education assistance
• Free development courses
• CVS store discount
• Discount programs with participating partners
• Paid Time Off (PTO) or vacation pay
• Paid holidays throughout the calendar year