Data Engineer, Amazon Shipping

Amazon's global fulfillment network is seeking a Data Engineer to join their Amazon Shipping team. This role sits at the intersection of logistics and technology, working on systems that handle millions of packages being shipped through Amazon's worldwide logistics network.

As a Data Engineer, you'll be responsible for developing critical data pipelines and infrastructure that powers Amazon's shipping operations. You'll work with complex networks of vendor locations, Amazon warehouses, and customer locations, handling the data that drives package movement across this vast network.

The role requires strong technical skills in data engineering, with experience in SQL, Python, and data warehousing technologies. You'll be working with distributed systems and big data technologies, building solutions that scale to handle millions of packages and complex delivery requirements.

Key responsibilities include designing and maintaining last mile datasets, working with various database systems, conducting data investigations, and implementing best practices in data pipeline development. You'll collaborate with scientists, supply chain teams, and software engineers to deliver complete solutions.

This is an excellent opportunity for a data professional who wants to work at scale, solving complex logistics problems through data engineering. The role offers competitive compensation ($91,200-$185,000 based on location), plus equity and comprehensive benefits. You'll be part of Amazon's respected BI and Data Engineering team, working on systems that directly impact the company's global shipping capabilities.

The ideal candidate will have at least 2 years of data analysis experience, strong SQL skills, and experience with ETL pipelines and data modeling. Knowledge of distributed systems and big data technologies is highly valuable. This role offers significant opportunity for growth and impact within Amazon's logistics technology organization.