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

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.
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. To execute on our vision and strategic imperatives, we are looking for Staff Data Engineer that are committed to engineering excellence, bold and innovative and are passionate about advancing and modernizing technologies.

REQUIRED QUALIFICATIONS

• Demonstrates a keen awareness of the member experience while seeking opportunities for automation and innovation to automate and optimize business operations.
• Ability to work with Data Science & Products team to understand operations workflow and requirements.
• Ability to understand and make architectural decisions on both UI and backend systems.
• 7+ years of experience with Big data and cloud architecture.
• 4+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP, AWS, Azure).
• 4+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS) as well as on serverless compute services.
• 7+ years of experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Kafka, Spark Streaming).
• 2+ years of experience working with LLMs and other Gen AI models.
• 5+ year(s) of soliciting complex requirements and managing relationships with key stakeholders.
• 5+ year(s) of experience independently managing deliverables.
• 7+ years of experience with SQL, NoSQL.
• 7+ years of experience with Python (or a comparable scripting language).
• 7+ years of experience with ETL/ELT, and building high-volume data pipelines.
• 7+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management.

PREFERRED QUALIFICATIONS

• Experience in designing and building data engineering solutions in cloud environments (preferably GCP)
• Experience of API/Microservices development
• Experience with Git, CI/CD pipeline, and other DevOps principles/best practices
• 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
• Strong collaboration and communication skills within and across teams
• Google Professional Data Engineer/Architect Certification
• Experience with microservices and SOA

EDUCATION

Bachelor’s or Master’s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required. Master’s Degree preferred.

Please refer the Job description for details