Manager, Data Engineer

CVS Health•Carapichaima, IL

4d•$54,300 - $145,860•Remote

About The Position

We are 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.

Requirements

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.

Nice To Haves

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)

Responsibilities

Analyzing data to answer business questions leveraging SQL
Building and maintaining Data Visualization dashboards such as Power BI
Building/maintaining the pipelines and data models (primarily in GCP, Snowflake and BigQuery) that feed both
Using AI-assisted tools to accelerate analysis and development
Helping evaluate where AI/LLM-based approaches (e.g., natural language querying, automated insight generation, anomaly detection) can add value for the business