Amazon Leo is Amazon’s low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. This role is for a Data Engineer who will design, implement, and operate globally distributed systems that enable Leo to achieve low single-digit-second query responses within a near real-time analytics layer or lakehouse, and to support agentic AI capabilities on top. You’ll build these systems using the latest AWS technologies and best-in-industry data engineering practices. This role is for a Data Engineer who will build new cloud services and APIs that facilitate and orchestrate the Leo AI Foundations—enabling intelligent software operation across Leo devices such as satellites, ground gateways, and customer terminals. You will design and deliver low-latency, highly scalable architectures that are critical to providing high-quality internet service and AI capabilities to customers. Leo AI Foundations builds the intelligent cloud backbone that powers AI-driven decision making across Amazon’s Leo constellation — from satellites and ground gateways to customer terminals. Our team designs and operates large-scale data and compute systems that enable training, inference, and agentic intelligence for optimizing network performance, routing, and user experience in real time. We combine expertise in distributed systems, data lakehouse architectures, and applied machine learning to deliver scalable, low-latency AI capabilities that integrate seamlessly with Leo's software-defined space and ground systems. We move fast, innovate boldly, and work across boundaries to make global connectivity smarter and more efficient.