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Manager, Analytics Engineering
CVS HealthManager of Analytics Engineering managing finance data for CVS Health's Pharmacy Services. Designing data pipelines and collaborating with analytics teams for effective decision-making.
Posted 5/14/2026full-timeIrving • Arizona, Illinois, Texas • 🇺🇸 United StatesMid-LevelSenior💰 $92,700 - $185,400 per yearWebsite
Tech Stack
Tools & technologiesAirflowBigQueryCloudETLKubernetesPythonSparkSQL
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
- comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythondata pipelinesETLdata modelingdata architectureCI/CDcloud data platformsobject-oriented programmingdata orchestration
Soft Skills
leadershipcoachingtechnical guidancecollaborationcommunicationproblem-solvingdocumentationperformance improvementquality assuranceorganizational skills