Data Engineer II, Network Design Planning & Engineering

This Data Engineer II role on the Network Design Planning & Engineering team focuses on architecting scalable data pipelines and infrastructure to support network optimization and decision-making across Amazon's US shipping network. The position is onsite in Bellevue, WA, with a salary range of USD 132,100 - 178,800 per year. The role emphasizes building real-time data solutions and governance frameworks to enable faster deliveries, lower costs, and a more sustainable transportation network.

Responsibilities

• Create and deploy data pipelines for the various Network design programs.
• Build foundational data infrastructure for network design models to enable rapid and automated runs, with end-to-end automated data flows.
• Assess business requirements for design scenario analysis, define data architecture approaches, and deliver a user-friendly platform enabling NDPE program managers to perform what-if analyses.
• Define data engineering processes that utilize AWS services to improve accessibility, redundancy, data integrity, cost efficiency, and storage needs.
• Create high-quality solutions to accelerate product and model development that address business needs in a scalable format, while anticipating future requirements.
• Collaborate with Research/Applied Scientists, Data Engineers, BIEs, Data Scientists and Product/Program Managers to understand business and technical requirements and drive decisions that streamline programs.
• Lead the technical design of the data infrastructure with strong coding skills (preferably Python), including code deployment and maintenance.

Requirements

• Minimum three years of data engineering experience.
• At least one year of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes.
• At least one year of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies.
• At least one year of developing and operating large-scale data structures for business intelligence analytics using data modeling.
• At least one year of developing and operating large-scale data structures for business intelligence analytics using SQL.
• At least one year of developing and operating large-scale data structures for business intelligence analytics using Oracle.
• Experience with data modeling, warehousing, and building ETL pipelines.

Technologies

• Python
• AWS services
• Kinesis
• Kafka
• QuickSight
• Tableau
• Oracle
• SQL

Benefits

• Health insurance including medical, dental, vision, and prescription coverage
• 401(k) matching
• Paid time off
• Parental leave
• Adoption and surrogacy reimbursement coverage
• Flexible Spending Accounts
• Employee Assistance Program
• Mental health support
• Medical advice line
• Basic life and AD&D insurance
• Supplemental life plans