SeniorDataEngineer,InfrastructureReliability

Join Amazon's Fulfillment Technologies & Robotics (FTR) team to build the data foundation powering the next generation of AI-enabled infrastructure reliability — a platform designed to keep Amazon's global fulfillment network running continuously, moving toward fully autonomous, zero-touch operations. As a Data Engineer III on the Infrastructure Reliability team, you will design, build, and scale the data pipelines, models, and warehousing infrastructure that feed machine learning systems, multi-agent orchestration platforms, and real-time observability tools across thousands of fulfillment sites. Your work will be operationally critical, technically motivated, and globally impactful. If you are energized by hard data problems at enormous scale — and want your work to matter in production every single day — this is the role for you. Key job responsibilities - Design, build, and maintain scalable ETL/ELT pipelines that ingest, transform, and serve operational data from thousands of fulfillment sites to ML models, detection systems, and dashboards - Develop and own data models that guide AI-powered progressive incident detection, consolidation, and remediation orchestration across cross-domain fulfillment systems - Partner closely with data scientists, software engineers, and product managers to define data requirements, validate feature engineering approaches, and ensure model-ready data pipelines are reliable and low-latency - Build and operate large-scale data warehouse solutions on AWS (Redshift, S3, Glue, EMR, Spark) supporting both batch and near-real-time workloads - Establish and enforce data quality frameworks, monitoring, and alerting to ensure the reliability of data feeding autonomous operational systems where data errors carry real operational risk - Define and implement data governance standards, access patterns, and documentation so that data assets are discoverable, trustworthy, and reusable across teams - Mentor junior data engineers on best practices