Data Engineer, PXT Finance - ML Forecasting and Core Engineering

Amazon is seeking a Data Engineer to join their People Experience Technology and Finance team to advance machine learning and simulation capabilities. This role focuses on driving ML forecasting and prediction improvements through state-of-the-art system optimization. You'll work with scientists, engineers, and product managers to innovate customer solutions and business intelligence.

The position involves creating scalable data solutions using AWS tools, maintaining data transformation pipelines, and managing datasets in Amazon's data lake. You'll be responsible for data investigation and analysis, ensuring quality data delivery to downstream consumers, and developing ETL solutions using technologies like EMR, Spark, and Pytorch.

This high-visibility role offers the opportunity to impact Amazon's distributed simulations for population dynamics forecasting and expense planning. The ideal candidate brings strong data engineering experience, analytical skills, and knowledge of schema and data structures. You'll work with cutting-edge technologies while contributing to one of the world's most complex technical challenges in data engineering.

The role offers competitive compensation ranging from $118,900 to $205,600 based on location, plus comprehensive benefits including equity and sign-on payments. Join Amazon's inclusive culture where you'll have the chance to make lasting impacts on ML-driven solutions and business intelligence systems used by planners and decision-makers across the company.