Senior Data Engineer - AI and Analytics

Benefits

• Medical, dental, and vision coverage
• Paid time off
• Retirement savings options
• Wellness programs
• Comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families
• Other resources, based on eligibility

Location and compensation

Location: Buffalo Grove, IL on site

Salary: USD 101,970 - 203,940 per year

Employment type: Full time

Anticipated weekly hours: 40 hours

Bonus eligibility: Eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range

Responsibilities

• Design, develop, and maintain scalable data pipelines to assemble large, complex datasets supporting multiple CVS lines of business
• Partner with cross-functional teams to build analytics tools that deliver actionable insights and integrate them with consumer touchpoints
• Tackle intricate data challenges by applying modern storage, processing, transformation, and enrichment techniques for terabyte to petabyte scale healthcare data, with security in mind
• Operate in a dynamic, agile environment with cross-functional teams to deliver innovative data solutions for business needs
• Address challenges linked to large-scale structured and unstructured data

Requirements

• SQL: 3–5+ years
• NoSQL: 3–5+ years
• Python: 3–5+ years
• Data warehousing, data modeling, and related infrastructure components: 3+ years
• ETL/ELT and building high-volume data pipelines: 3+ years
• Reporting and analytics tools: 3+ years
• Query optimization, data structures, transformation, metadata, dependency, and workload management: 3+ years
• Big data and cloud architecture: 3+ years
• Modern data pipelines on a major cloud platform, preferably GCP; AWS or Azure also acceptable: 3+ years
• Deployment and scaling of apps in containerized environments (Kubernetes, AKS): 3+ years
• Real-time and streaming technologies (Azure Event Hubs, Azure Functions, Kafka, Spark Streaming): 3+ years
• Gaining complex requirements and managing relationships with key stakeholders: 1+ year
• Independent delivery of project deliverables: 1+ year

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 and commands
• API development
• Google Professional Data Engineer Certification