Data Engineer, Shopping Foundation

Our organization builds the data foundations that power the future of online shopping. With ever expanding selection, and ambient computing looming on the horizon, our mission is to build a new shopping experience, beyond search & browse, helping busy customers easily find low-regret products that meet their in-the-moment need. You will have opportunity to closely work with teams who are building Agentic AI powered CX.

An ideal individual is someone who has knowledge of ETL, data modeling, database architecture and big data solutions. This individual should have excellent written and verbal communication skills.


Key job responsibilities
- We're looking for an entry-level Data Engineer to implement data products and solutions that power our shopping platforms.
- You will work with senior engineers for building data products that power mission critical analytical reports and metrics for Amazon AI products.
- You'll develop data pipelines, implement data quality checks, and implement our engineering best practices.
- You will be building building scalable data systems using latest AWS technologies while maintaining high standards of data quality and reliability.


A day in the life
This data engineer designs, builds, and maintains scalable data pipelines that transform raw information into reliable, high-quality datasets for analytics and machine learning. You will be participating in operational excellence mechanisms to ensure timely, trustworthy data delivery to our customers.

About the team
Our organization builds the data foundations that power the future of online shopping. With ever expanding selection, and ambient computing looming on the horizon, it's time to create a new shopping experience, beyond search & browse, helping busy customers easily find low-regret products that meet their in-the-moment need. It's time to leverage big data and machine learning to generate relevant and trustworthy recommendations for billions of shopping journeys through billions of products, and to make it easy and natural for customers to discover those recommendations. We are seeking the industry's best to help us create new ways to interact, search and shop.