Manager, Data Engineer

Socket.dev; Illinois; Hybrid; USD 54,000 - 146,000; Full time

Benefits offered by this job

Medical benefits

401(k) retirement plan

Paid time off

Wellness programs

Job summary

CVS Health is seeking a Manager, Data Engineer for the Retail Resource Center’s Innovation team. This role blends data analysis, BI development, and data engineering—balancing data queries, dashboarding in Power BI, and pipeline modeling in Snowflake/BigQuery.

The ideal candidate has 5+ years of experience and will help leaders make data-driven decisions; responsibilities include partnering with stakeholders and shaping AI-enabled analytics workflows.

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 with complex query optimization.
• Hands-on experience building dashboards and data models in Power BI.
• Experience with a cloud data warehouse (Snowflake or BigQuery).
• Experience designing dimensional data models (e.g., star schema) for analytics use.
• Excellent business communication skills and ability to translate questions into analysis.

Responsibilities

• Analyze data to answer business questions and drive insights.
• Build and maintain Data Visualization dashboards (Power BI).
• Develop and maintain data models and ETL/data pipelines in cloud environments.

Skills

Analytics engineering

BI development

SQL proficiency

Power BI

AI tools

Data modeling

Education

Bachelor's degree

Tools

Snowflake

BigQuery

Python

Power BI

ETL pipelines

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 ourselvesaccountable 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 pipelinesStrong 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.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

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.