Data Engineer, JP Science and Data

Amazon's JP Science and Data team is seeking a Data Engineer to spearhead the development of scalable data engineering infrastructure for their largest vendors. This role offers a unique opportunity to work at the intersection of e-commerce and advanced analytics, building robust data pipelines and architectures that power machine learning models for Amazon's new generation of Paid Services.

As part of a diverse team of scientists, business intelligence engineers, and machine learning engineers, you'll collaborate on cutting-edge projects involving causal inference, representation learning, anomaly detection, forecasting, and LLMs. The position offers exposure to various challenging projects, emphasizing continuous learning and professional growth.

The ideal candidate will bring 3+ years of data engineering experience, with expertise in data modeling and ETL pipelines. Knowledge of AWS technologies and non-relational databases is highly valued. You'll work directly with product managers to shape the vision for Paid Services, while collaborating with vendors and team members to drive business impact through data-driven insights.

This role presents an exceptional opportunity to influence Amazon's vendor solutions worldwide, working with terabytes of data and contributing to a team that aims to be the primary science team for vendor solutions globally. The position offers the perfect blend of technical challenge, business impact, and professional growth in one of the world's leading technology companies.