Data Engineer, North America Sort Centers Job at Amazon.com Services LLC, Bellevue, WA

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  • Amazon.com Services LLC
  • Bellevue, WA

Job Description

DESCRIPTION

Join the NASC SPEeD team (Sortation Products Engineering and Data) in Amazon Transportation Services' Sort Centers - a critical Middle-Mile operation linking Fulfillment Centers to Last Mile delivery. We're seeking engineers to build scalable solutions for complex operational processes, develop science-based planning tools, work with big data, machine learning, and optimization technologies, and create high-volume, low-latency services.

This new initiative offers opportunities to shape new services and technologies, collaborate across Amazon teams, receive mentorship from principal product managers and senior engineers, and work in an innovative, customer-focused environment.

Key job responsibilities
- Design and implement robust data pipelines and warehousing solutions that support complex logistics operations
- Develop scalable data models and ETL processes to transform raw operational data into actionable insights
- Collaborate with cross-functional teams to identify and resolve data integration challenges
- Create and maintain high-performance, low-latency data services using modern cloud technologies
- Continuously improve data infrastructure reliability, performance, and scalability

A day in the life
Your day will be dynamic and impactful, working on transformative data solutions that directly influence Amazon's logistics efficiency. You'll collaborate with cross-functional teams, design sophisticated data architectures, and leverage advanced technologies to solve complex operational challenges.

About the team
We are a forward-thinking group dedicated to building the world's most efficient sortation network. Our team leverages advanced data technologies to create intelligent solutions that streamline shipping processes, enhance customer experiences, and drive continuous innovation in logistics technology.

BASIC QUALIFICATIONS

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines

Job Tags

Full time,

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