Data Engineer II, Network Design Planning & Engineering

Amazon • Bellevue, WA

2d • Onsite

About The Position

As a Data Engineer on the Network Design team, you'll architect the data infrastructure behind how Amazon moves millions of packages across the US every day. You'll design and implement scalable data pipelines and models that fuel network optimization — powering decisions on speed, cost, quality, and sustainability. From building real-time data solutions to establishing governance frameworks, your work will directly shape the supply chain that delivers for hundreds of millions of customers.

You'll operate at the intersection of data engineering and network planning, translating complex logistics problems into elegant, automated solutions. This is a high-visibility role where your technical contributions drive measurable business outcomes — faster deliveries, lower costs, and a more sustainable transportation network.

Requirements

• 3+ years of data engineering experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience
• Experience with data modeling, warehousing and building ETL pipelines

Nice To Haves

• Master's degree in a quantitative field
• Experience with network, graph, or geospatial data modeling and optimization
• Experience in logistics, supply chain, or transportation domains
• Experience with data visualization tools (e.g., QuickSight, Tableau)
• Familiarity with real-time or streaming data architectures (e.g., Kinesis, Kafka)
• Understanding of data governance frameworks and regulations (e.g., GDPR, DMA)
• Experience with infrastructure-as-code and CI/CD pipelines for data systems
• Experience mentoring engineers or leading technical design reviews

Responsibilities

• Design and implement data pipelines for the different Network design programs.
• Develop foundational data infrastructure for the network design models to enable faster and automated runs of underlying models, with automated end to end data flows.
• Identify the business needs for design scenario analysis, formulate data architecture strategies, and develop a user-friendly platform for NDPE program managers to perform what-if analysis.
• Define the data engineering processes that leverage various AWS services to improve accessibility, redundancy, data integrity, AWS services costs, and storage requirements.
• Develop the high quality solutions for the faster development of the products/models that solve the business needs in a scalable format, while also anticipating future requirements.
• Collaborate with Research/Applied Scientists, Data Engineers, BIEs, Data Scientists and Product/Program Managers to understand the business and technical requirements, and make decisions that help make the products/programs smoother.
• Lead the technical design of the data infrastructure with strong coding skills (preferable in python), code deployment and code maintenance.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level