Data Engineering Manager — AI‑Driven Analytics

CVS Health Corporation; Woonsocket (RI); On-site; USD 54,000 - 146,000; Full time

Benefits offered by this job

Health benefits

Bonus potential

Career development

Job summary

CVS Health Corporation seeks a Manager, Data Engineer to join the Retail Resource Center’s Innovation team. The role blends data analysis, BI development, and data engineering, with a focus on SQL, Power BI dashboards, and pipelines in GCP, Snowflake, and BigQuery.

Expect collaboration across stakeholders and a push to include AI-assisted analytics. The ideal candidate has 5+ years in analytics engineering or BI, strong SQL, and hands-on experience with cloud data warehouses and dimensional

Qualifications

• 5+ years of analytics engineering, data analysis, or BI development experience.
• Experience using AI tools to support analysis, coding, and documentation.
• Strong SQL skills with complex queries and transformations.
• Hands-on dashboard, data model, and DAX measure work in Power BI.
• Experience with a cloud data warehouse (Snowflake or BigQuery).
• Experience designing dimensional data models (star schema) for analytics use.
• Experience building and maintaining ETL/data pipelines; strong analytical skills.
• Excellent business communication to translate questions into analysis.

Responsibilities

• Analyze data to answer business questions and inform decisions.
• Build and maintain BI dashboards and data models.
• Develop and maintain data pipelines feeding analytics platforms.
• Collaborate with stakeholders and engineers to shape analytics workflows.

Skills

Analytics engineering

SQL

AI tools

Power BI

Data modeling

ETL pipelines

Problem solving

Communication

Organization

Cloud data warehouse

Education

Bachelor's degree in a related field

Tools

Snowflake

BigQuery

Power BI

Python

Airflow

Job description

CVS Health Corporation seeks a Manager, Data Engineer to join the Retail Resource Center’s Innovation team. The role blends data analysis, BI development, and data engineering, with a focus on SQL, Power BI dashboards, and pipelines in GCP, Snowflake, and BigQuery.

Expect collaboration across stakeholders and a push to include AI-assisted analytics. The ideal candidate has 5+ years in analytics engineering or BI, strong SQL, and hands-on experience with cloud data warehouses and dimensional