Data Engineer, Selling Partner Experience | AI initiatives

Amazon's Selling Partner Experience (SPX) team is seeking a Data Engineer to support Project Amelia, an innovative AI initiative aimed at building a trusted Selling Assistant. This role is crucial in developing the analytical data infrastructure that powers decision-making for Amazon's global selling partners. The position offers a unique opportunity to work at the intersection of data engineering, AI, and e-commerce, supporting a platform that helps sellers thrive on Amazon's marketplace.

As a Data Engineer, you'll be responsible for designing and implementing scalable data solutions using AWS technologies, including S3, Redshift, DynamoDB, Lambda, and Glue. You'll work closely with Product Managers, Software Engineers, and Business Intelligence Engineers to automate and scale analysis processes. The role requires expertise in data modeling, ETL pipeline development, and advanced SQL and Python programming.

The ideal candidate will bring 3+ years of data engineering experience and strong skills in data warehousing. You'll be working in Seattle, WA, with a competitive salary range of $118,900 to $205,600, plus additional benefits including equity and sign-on bonuses. This is an excellent opportunity for a data professional who wants to make a significant impact on Amazon's seller experience through innovative AI solutions.

The role combines technical expertise with business acumen, requiring someone who can translate complex data requirements into actionable insights. You'll be part of a team that's revolutionizing how sellers interact with Amazon's platform through Project Amelia, making selling on Amazon more intuitive and efficient through AI-powered assistance. The position offers growth opportunities in both technical and leadership capacities, working with cutting-edge technologies in a fast-paced, innovative environment.