Manager, Analytics Engineering

CVS Health

Manager of Analytics Engineering leading team to build finance data solutions. Designing scalable data pipelines and collaborating with finance leaders for data-driven decisions.

Posted 4/28/2026full-timeArizona, Illinois, Texas • 🇺🇸 United StatesMid-LevelSenior💰 $92,700 - $185,400 per yearWebsite

Tech Stack

Tools & technologies

AirflowBigQueryCloudETLKubernetesPythonSparkSQL

About the role

Key responsibilities & impact

Lead, coach, and provide technical guidance to a team of analytics engineers
Design and oversee scalable data pipelines, models, and architecture
Partner with business and analytics stakeholders to turn complex questions into usable data solutions
Build and automate data extraction, transformation, and loading (ETL) processes using industry standards
Improve existing data pipelines by identifying performance, reliability, and quality issues
Develop tools and standards to improve code quality, consistency, and development speed
Create clear documentation to support long‑term sustainability
Collaborate closely with data visualization and reporting teams

Requirements

What you’ll need

5+ years of advanced SQL experience (e.g., BigQuery, SAP HANA, Teradata)
5+ years of experience using Python or another object‑oriented language in data or analytics engineering
5+ years working with data pipelines and orchestration tools (e.g., Airflow, Spark, Kubernetes)
3+ years of experience deploying and managing CI/CD in cloud data platforms
3+ years of experience working with serverless and cloud‑based architectures
Bachelor's degree in a quantitative or STEM field, or equivalent experience.

Benefits

Comp & perks

medical, dental, and vision coverage
paid time off
retirement savings options
wellness programs

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythonETLdata pipelinesdata modelingdata architectureCI/CDcloud data platformsobject-oriented programmingdata extraction

Soft Skills

leadershipcoachingtechnical guidancecollaborationcommunicationproblem-solvingdocumentationorganizational skillsstakeholder engagementquality improvement