Amazon's global fulfillment network is seeking a Senior Data Engineer to join their Middle Mile Product & Technology team. This role is crucial in managing the complex network of package movements between vendors, warehouses, and customers worldwide. You'll be part of a highly respected software engineering team focused on solving complex transportation problems using advanced workflows, optimization algorithms, and machine learning systems.
The position involves working with large-scale distributed systems that handle millions of packages shipping through Amazon's logistics network. You'll collaborate with senior engineers and principals to tackle scaling challenges, enhance existing services, and develop new solutions. The role requires expertise in data engineering, ETL pipelines, and programming languages like Python, Java, or Scala.
This is an excellent opportunity for experienced data engineers who want to make a significant impact on global logistics operations. You'll be working at the intersection of big data and supply chain optimization, using cutting-edge technologies including AWS services like Redshift, S3, AWS Glue, and EMR. The position offers competitive compensation ranging from $139,100 to $240,500 based on location and experience, plus equity and comprehensive benefits.
The ideal candidate will have 5+ years of data engineering experience, strong SQL skills, and a proven track record of mentoring team members. Experience with AWS technologies and large data warehouses is highly valued. You'll be joining a team that's dedicated to improving customer experience while optimizing network operations at a global scale.