Sr Manager, Data Engineering , Amazon Selling Partner Verification
Amazon · Seattle, WA · Data Science
About this role
Amazon is hiring a manager-level Engineering Manager in the software engineering function based in Seattle, WA. The posting calls out experience with ETL, Machine Learning, Design Systems, Compliance. Compensation is listed at $202,300–$273,700 per year.
- Role
- Engineering Manager
- Function
- software engineering
- Level
- manager
- Track
- hybrid
- Employment
- Full-time
- Location
- Seattle, WA
- Department
- Data Science
- Posted
- Mar 2, 2026
More roles at Amazon
Job description
from Amazon careersAs the leader of the Seller Verification Services (VS) Data function, you will drive the transformation of Amazon's global seller verification and onboarding systems. VS operates at the intersection of trust and scale—enabling legitimate sellers to onboard quickly while preventing bad actors from accessing the Amazon marketplace. Our organization combines engineering, analytics, product management, and program expertise to verify millions of entities annually. You will lead the data infrastructure that powers verification decisions across Amazon's worldwide stores. This includes building scalable data pipelines, developing analytical frameworks, and enabling machine learning models that assess seller legitimacy in real-time. Your work will directly impact seller experience, marketplace integrity, and Amazon's ability to grow its third-party selling business globally. The Sr Manager, Data Engineering role owns a portfolio of data engineering, business intelligence, and analytics teams that solve complex verification challenges. You will partner with product managers, software engineers, data scientists, and business leaders to deliver data infrastructure, modeling capabilities, and insights that drive verification effectiveness. This role requires proven people management experience and the ability to define and execute strategy across a global technical ecosystem. The ideal candidate excels at building simple, elegant solutions that scale. You think holistically across organizational boundaries,…