Join Amazon's Supply Chain Optimization Technology (SCOT) team as a Data Engineer, where you'll be at the forefront of predicting inventory flows for Amazon's worldwide supply chain. This role offers a unique opportunity to impact billions of dollars worth of inventory management in one of the world's most sophisticated supply chains.
As a Data Engineer in the SCOT Simulation team, you'll work with elite software engineers, scientists, economists, and product managers to tackle complex supply chain challenges. You'll be responsible for building and maintaining data pipelines, warehouses, and lakes across our Simulation toolset, working with one of the largest distributed systems globally.
The role involves leveraging AWS technologies, particularly ECS and EMR, to create next-generation systems that run elastically at massive scale. You'll design and implement ETL processes, data models, and analytical solutions using SQL, PySpark, Amazon Big Data Technologies, and various AWS services including Redshift, EMR, and Glue.
Key aspects of the role include:
The position offers competitive compensation ranging from $118,900 to $205,600 per year, depending on location, plus additional benefits including equity, sign-on payments, and comprehensive medical coverage. This is an excellent opportunity for a data engineering professional looking to make a significant impact in a fast-growing, technically challenging environment.
The ideal candidate will have strong experience in data engineering, distributed systems, and modern programming languages, with the ability to work independently and lead complex data initiatives. If you're passionate about building scalable data solutions and want to be part of transforming global supply chain operations, this role offers the perfect blend of challenge and opportunity.