Data Engineer, Content And Data Platform

Seattle

Monday, 20 April 2026

Prime Video is disrupting the traditional television and movie industry with a massive library of high-quality media and reliable digital delivery. Our services are engineered for high availability, maximum reach, and cost savings we can pass on to customers. We enable the world to watch video instantly, from any device, whether on the road or from the comfort of a living room sofa. Prime Video's Catalog & Data Platform (CDP) is the authoritative source of truth for every title available to hundreds of millions of customers across 249 territories across Subscription and Trans. Actional VOD, Channels, Linear, Live Sports and beyond. We drive the full content supply chain: from content and rights ingestion and processing, through product and offer distribution to every PV surface (Browse, Search, Fire TV, Web, Mobile, 3 P Living Room devices, Google, Apple and other affiliates). We are hiring an DE-II to help build the next generation of our Distribution platform. You will design and deliver systems that process billions of content requests and catalog queries daily, and ensure every customer in every territory sees the right content with the right offer at the right time. Your work directly impacts whether a customer in Mumbai can watch the latest season of a show, whether a partner in Tokyo can launch content across territories simultaneously, and whether Prime Video's storefront renders the correct experience for 100 s of millions of active streamers worldwide. The systems you will design and build are high performance distributed systems capable of enabling the growth of Prime Video global business. Innovation is key on this team and we are looking for technically savvy individuals with the ability to think big & deliver simple solutions to complex problems. At Amazon, every employee has the opportunity to positively impact millions of customers, and you will be called on to identify and realize these opportunities. Our team works end-to-end through the Video platform, and our team members have direct ownership of the customer experience. Basic Qualifications- 3 years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL - Preferred Qualifications- Experience with AWS technologies like Redshift, S 3, AWS Glue, EMR, Kinesis, Fire. Hose, Lambda, and IAM roles and permissions- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

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