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: 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

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

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

Senior Data Engineer - AI and Analytics

Job Description