Senior Data Engineer - Growth Analytics Engineering

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:

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 Senior 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.

In this role, you will:

• Write ETL (Extract/Transform/Load) processes and develop tools for real-time and offline analytic processing in cloud environments.
• Build data marts and data models to support data science use cases in the areas of marketing and sales. Integrate data from a variety of sources, assuring that they adhere to data quality and accessibility standards.
• Collaborate with Data Scientists and other Data Engineers in an agile environment
• Work directly with Data Scientists and Product Managers to gather requirements and recommend optimal solutions
• Evaluate and when appropriate utilize cutting-edge technologies in order to help our Data Science partners to deliver maximum value

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:

• 3+ years of experience with SQL, NoSQL
• 3+ years of experience with Python (or a comparable scripting language)
• 3+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components
• 3+ years of experience with ETL/ELT, and building high-volume data pipelines
• 3+ years of experience with reporting/analytic tools
• 3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management
• 3+ years of experience with Big data and cloud architecture
• 3+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP, AWS, Azure)
• 3+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)
• 3+ years of experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Kafka, Spark Streaming)
• 1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders
• 1+ year(s) of experience independently managing deliverables

PREFERRED QUALIFICATIONS:

• Strong collaboration and communication skills within and across teams
• 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
• Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources
• Knowledge of API development
• Experience with complex systems and solving challenging analytical problems
• Experience developing data assets used to support data visualization or reporting
• Google Professional Data Engineer Certification
• Formal SAFe or other agile experience. Previous healthcare experience and domain knowledge
• Experience architecting and building data warehouses and/or data marts

EDUCATION:

Bachelor’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.

• Write ETL (Extract/Transform/Load) processes and develop tools for real-time and offline analytic processing in cloud environments.
• Build data marts and data models to support data science use cases in the areas of marketing and sales. Integrate data from a variety of sources, assuring that they adhere to data quality and accessibility standards.
• Collaborate with Data Scientists and other Data Engineers in an agile environment
• Work directly with Data Scientists and Product Managers to gather requirements and recommend optimal solutions
• Evaluate and when appropriate utilize cutting-edge technologies in order to help our Data Science partners to deliver maximum valu