Senior Business Intelligence Engineer

We're building a world of health around every individual , shaping a more connected, convenient and compassionate health experience.

At CVS Health, you'll be surrounded by colleagues who care deeply, innovate with purpose, hold themselves accountable and prioritize safety and quality in everything they do.

We are looking for a Senior Business Intelligence Engineer to help shape how data from our Databricks platform is modeled, governed, and delivered for impactful analysis.

Responsibilities

• Design and maintain reporting-ready dimensional models, views, and metric definitions in Databricks.
• Build and maintain dashboards for data quality, delivery timeliness, SLA attainment, payer scorecards, and platform cost.
• Publish certified, documented datasets that domain teams and analysts can use in their own tools.
• Define how data is exposed to BI tools, including access controls, PHI/PII protection, certified versus exploratory content, and design and naming standards.
• Evaluate BI and visualization tools and keep business logic in the data layer.
• Tune queries, warehouse usage, and refresh schedules, troubleshoot connectivity and performance issues.
• Gather requirements from domain teams and leadership, turn feedback into improvements, and track adoption and usage.

Required Experience

• 3+ years in business intelligence, analytics engineering, or data engineering.
• 3+ years experience coding in SQL & Data Modeling.
• 3+ years experience working with at least one enterprise BI platform.
• 3+ years experience building Semantic Layers.
• 3+ years experience on Cloud Data Platforms.
• 3+ years experience with Data Governance.

Preferred Qualifications

• 6+ years experience in business intelligence, analytics engineering, or data engineering.
• Proven ability to coach users, write clear documentation, and explain data to technical and business audiences.
• Experience with analytics engineering practices, such as Git, code review, CI/CD for BI assets, and dbt or similar frameworks.
• Python for data preparation, automation, or analysis.
• Thoughtful use of AI tools to accelerate development and analysis.

Education

• Bachelor's degree or equivalent practical experience.

Anticipated Weekly Hours

• 40

Time Type

• Full time

Pay Range

• $83,430.00 - $203,940.00