Manager, Analytics Engineering

Confirmed live in the last 24 hours

CVS Health

Compensation

$92,700.00 - $185,400.00

8 Locations

On-site

Posted April 28, 2026

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’re looking for a Manager of Analytics Engineering to lead a team that builds and manages finance data used by the Pharmacy Services CFO organization. In this role, you’ll design reliable, scalable data pipelines and models that bring together data from many sources. You’ll work closely with finance leaders and analytics partners to ensure high‑quality data is available to support timely, data‑driven decisions.

What You’ll Do

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

Required Qualifications

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

Preferred Qualifications

Master’s degree in a STEM field
Experience building production‑ready, low‑maintenance data solutions
Experience with Kimball dimensional data modeling
Strong problem‑solving skills and ability to work through ambiguity
Experience working in agile environments
Strong communication skills and ability to influence across teams

Education

Bachelor’s degree in a quantitative or STEM field, or equivalent experience.

Anticipated Weekly Hours

Time Type

Full time

Pay Range

The typical pay range for this role is:

$92,700.00 - $185,400.00

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.

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: 05/11/2026

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

analytics