DataEngineerII,TransportationExecution,SpeedTeam

Are you passionate about building data infrastructure that powers real-time logistics decisions for millions of customers? The Global Transportation Services (GTS) Speed team is looking for a Data Engineer II to own critical data pipeline components that drive delivery speed optimization across Amazon's transportation network. In this role, you will independently design, build, and operate scalable data infrastructure solutions that integrate with multiple heterogeneous data sources. You will own end-to-end pipeline development — from extraction and transformation to loading and serving — ensuring data is delivered reliably and efficiently for reporting, analysis, and machine learning workloads. You will manage multiple Redshift clusters supporting the transportation organization's reporting needs, make technical decisions on data modeling and architecture for your domain, and collaborate with cross-functional teams to translate business requirements into high-impact data solutions. Key job responsibilities - Own end-to-end design, development, and operation of ETL/ELT pipelines that extract, transform, and load data from diverse sources using SQL, Python, and AWS big data technologies - Manage and optimize multiple production Redshift clusters, including performance tuning, capacity planning, and cost optimization to support transportation org reporting needs - Lead technical design discussions with Product teams, Data Scientists, Software Developers, and Business Intelligence Engineers to define data infrastructure requirements and deliver scalable solutions - Define and enforce data engineering best practices for your domain, including code quality standards, testing frameworks, documentation, and deployment processes - Conduct thorough code reviews and mentor junior data engineers on technical problem-solving, coding standards, and AWS best practices - Proactively identify and resolve scalability bottlenecks, re-designing infrastructure for greater reliability a