About the position
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. 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.
Requirements
- 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 design decisions on both UI and backend systems.
- 5+ years of experience with Big data and cloud architecture
- 5+ years of experience with SQL, NoSQL.
- 5+ years of experience with Python (or a comparable scripting language).
- 5+ years of experience with ETL/ELT, and building high-volume data pipelines.
- 5+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management.
- 3+ years experience building front end application using Angular Js, React, etc.
- 2+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP, AWS, Azure).
- 2+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS) as well as on serverless compute services.
- 2+ years of experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Kafka, Spark Streaming).
- 3+ year(s) of soliciting complex requirements and managing relationships with key stakeholders.
- 2+ year(s) of experience independently managing deliverables.
Nice-to-haves
- 1+ years of experience building applications using LLMs and Gen AI models
- 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.
- Strong collaboration and communication skills within and across teams
- Google Professional Data Engineer/Architect Certification
- Experience with microservices and SOA
Benefits
- Affordable medical plan options
- 401(k) plan (including matching company contributions)
- Employee stock purchase plan
- No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
- Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
