Data Engineer, Modeling and Optimization

Amazon's Modeling and Optimization team (MOP) is seeking a talented Data Engineer to help reshape one of the world's largest data-driven logistics systems. This role offers an exceptional opportunity to work on sophisticated optimization decision-engines that impact Amazon's extensive logistics network, which processes billions of packages annually across thousands of infrastructure nodes.

As a Data Engineer on the MOP team, you'll be at the forefront of developing modern data infrastructures that support critical logistics operations. You'll work alongside a diverse team of SDEs and Data Engineers, building solutions from the ground up using native AWS technologies. The team tackles various challenges, including creating backend software for weather impact analysis, developing simulation systems for order fulfillment optimization, and implementing map-based reporting infrastructure for key business metrics.

The role combines technical expertise with leadership opportunities, requiring strong communication skills to collaborate with both technical and non-technical stakeholders. You'll be responsible for identifying infrastructure improvements, designing and implementing cloud-based solutions, managing complex ETL pipelines, and ensuring data quality and availability. The position offers competitive compensation ranging from $91,200 to $185,000 based on location and experience, plus comprehensive benefits.

This is an ideal opportunity for someone who thrives in a fast-paced environment, enjoys solving complex data challenges, and wants to make a significant impact on one of the world's most sophisticated logistics networks. The role requires a mix of technical skills in data engineering, distributed systems, and cloud technologies, along with the ability to drive innovation and maintain high operational standards.