Manager, Data Engineer

1930 CVS Rx Services, Inc.; Rhode Island; Hybrid; USD 54,000 - 146,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off

Retirement savings options

Wellness programs

Job summary

CVS Health seeks a Manager, Data Engineer within the Retail Resource Center’s Innovation team. You’ll split time analyzing data to answer business questions, building BI dashboards in Power BI, and designing pipelines and data models in Snowflake/BigQuery.

You'll collaborate with stakeholders across the organization, turn data into actionable insights, and help shape AI-powered analytics using AI-assisted tools to accelerate analysis and development.

Qualifications

• 5+ years of analytics engineering, data analysis, or BI development experience.

Responsibilities

• Analyze data to answer business questions and generate insights.
• Build and maintain Power BI dashboards and data models.
• Develop and maintain ETL/data pipelines in cloud data warehouses (Snowflake/BigQuery).
• Collaborate with stakeholders and cross-functional teams.
• Explore AI/LLM-based approaches to analytics and BI and apply them.

Skills

Analytics engineering

SQL

Power BI

AI tools

Cloud data warehouse

Snowflake

BigQuery

ETL pipelines

Dimensional modeling

Communication

Problem solving

Organization

Education

Bachelor's degree in Data/Business Analytics or Computer Science

Tools

Python

Orchestration tools

Job description

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 passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Position Summary

We are seeking a Manager, Data Engineer to join our Retail Resource Center’s Innovation team. This role sits at the intersection of data analysis, BI development, and data engineering — you'll spend roughly equal time analyzing data to answer business questions leveraging SQL, building and maintaining Data Visualization dashboards such as Power BI, and building/maintaining the pipelines and data models (primarily in GCP, Snowflake and BigQuery) that feed both. The ideal candidate has 5+ years of experience and is passionate about turning data into actionable insights — someone who enjoys solving business challenges, building meaningful reporting tools, and helping leaders make data-driven decisions. This position will partner closely with stakeholders throughout the organization as well as other analysts and engineers on the team. We're increasingly building AI capabilities into our analytics workflows, and this role will help shape that. You'll use AI-assisted tools to accelerate analysis and development, and help evaluate where AI/LLM-based approaches (e.g., natural language querying, automated insight generation, anomaly detection) can add value for the business.

Required Qualifications

• 5+ years of experience in analytics engineering data analysis, or BI development
• Experience using AI tools to support analysis, coding, and documentation
• Strong SQL skills, including writing and optimizing complex queries and transformations
• Hands-on experience building dashboards, data models, and DAX measures in Power BI
• Hands-on experience working with a cloud data warehouse (Snowflake or BigQuery preferred)
• Experience designing dimensional data models (e.g., star schema) for analytics use
• Experience building and maintaining ETL/data pipelines
• Strong analytical, problem solving and critical thinking skills.
• Excellent business communication skills, ability to translate stakeholder questions into analysis and explain technical findings to non-technical audiences
• Strong organization skills with the ability to manage multiple priorities.

Preferred Qualifications

• Microsoft Power BI certification or equivalent
• Experience with Python or another scripting language for data manipulation/automation
• Experience with orchestration tools
• Prior experience working directly with business stakeholders in a self-serve analytics or embedded analyst capacity
• Experience applying AI/LLM-based approaches to analytics and BI (e.g., natural language querying, automated insight generation)

Education

Bachelor's degree in a related field (Data or Business Analytics, Computer Science, or similar), or equivalent practical experience

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is: $54,300.00 - $145,860.00. This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Benefits

Great benefits for great people we take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 09/26/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.