Data Engineer II, Network Design Planning & Engineering

DescriptionAs 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. Key job 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.

A day in the life We're the Network Design team within Amazon's Transportation organization — the people behind how millions of packages move across the US supply chain. We partner cross-functionally to build innovative connectivity solutions and deliver data-driven strategies that optimize network performance for speed, cost, quality, and sustainability. Our work spans three focus areas: Cost Governance, High Velocity Event Planning (think Prime Day), and Strategic Organizational Initiatives. If you're energized by solving complex logistics challenges at massive scale with real-world impact, this is the team for you. About the team Your days will be dynamic and high-impact. You might start the morning modeling network topology to improve how packages flow coast-to-coast, then shift to collaborating with cross-functional partners on a connectivity solution that shaves hours off delivery times. Some days you'll build recommendations to reduce carbon footprint; others, you'll plan for peak events at unprecedented scale. You'll tackle long-term planning, drive "Think Big" innovations in automation and containerization, and see your work directly shape the customer experience for hundreds of millions of customers worldwide.

Basic Qualifications

• 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 pipelinesPreferred Qualifications
• 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 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Bellevue

• 132,100.00
• 178,800.

00 USD annually