Senior Data Engineer - AI and Analytics

CVS Health seeks a Senior Data Engineer in Buffalo Grove, IL (onsite) to design, build, and maintain scalable data pipelines that support multiple lines of business, leveraging cloud architectures, real-time streaming, and cross-functional collaboration to generate actionable insights.

Responsibilities

• Design, develop, and maintain efficient data pipelines to assemble large, intricate datasets aligned with CVS business needs.
• Partner with cross-functional teams to create tools that deliver actionable insights and integrate them with consumer touchpoints.
• Tackle complex data challenges and use modern technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data.
• Operate in an agile environment with cross-functional teams to deliver innovative data solutions that address business problems.
• Resolve issues related to large-scale, structured and unstructured data.

Requirements

• 3 to 5+ years of hands-on SQL experience
• 3 to 5+ years of NoSQL experience
• 3 to 5+ years of Python experience
• 3+ years of experience with data warehouses, including data modeling, architecture, and related infrastructure components
• 3+ years of ETL/ELT experience and building high-volume data pipelines
• 3+ years of experience with reporting and analytic tools
• 3+ years of experience with query optimization, data structures, transformations, metadata, dependency, and workload management
• 3+ years of experience with big data and cloud architectures
• 3+ years building modern data pipelines on a major cloud platform, with preference for Google Cloud Platform (GCP); AWS or Azure are also acceptable
• 3+ years deploying and scaling applications in containerized environments (Kubernetes, AKS)
• 3+ years of real-time and streaming technology experience (Azure Event Hubs, Azure Functions, Kafka, Spark Streaming)
• 1+ year of gathering complex requirements and managing relationships with key stakeholders
• 1+ year of independently delivering on project commitments
• Bachelor's degree in a related field

Technologies

• SQL
• NoSQL
• Python
• Google Cloud Platform (GCP)
• AWS
• Azure
• Kubernetes
• AKS
• Azure Event Hubs
• Azure Functions
• Kafka
• Spark Streaming
• Git
• CI/CD
• Bash
• UNIX utilities
• API development
• Google Professional Data Engineer Certification

Benefits

• Medical, dental, and vision coverage
• Paid time off
• Retirement savings options
• Wellness programs
• Comprehensive benefits designed to support colleagues and their families
• Additional resources available based on eligibility

Work details

• Anticipated weekly hours: 40
• Time type: Full time

Pay range

• Base salary range: $101,970.00 - $203,940.00 per year
• Actual offer depends on experience, education, geography, and other factors; eligible for CVS Health bonus, commission or short-term incentive program in addition to base pay