Sr. Data Engineer, Amazon Digital Advertising

Application deadline: Oct 1, 2026

Are you excited by the idea of building the data foundation that an entire AI-powered product is built on — from the very first pipeline? Do you like the messy, ambiguous problems: wrangling inconsistent data from dozens of outside partners and turning it into something clean, timely, and genuinely trustworthy? If so, we'd love to talk.

Marketing at Amazon happens across a huge range of independent businesses, and the data behind it is scattered across agencies, vendors, and platforms. It's slow to get, inconsistent, and almost impossible to see as a whole. We're a new, AI-native team setting out to fix that — building a service that automatically pulls all of this data together, cleans and normalizes it, and puts AI-powered analytics on top so anyone can ask a question in plain language and get a real answer.

That's where you come in. As a Data Engineer on this team, you'll own the ingestion pipelines and the normalized dataset that everything else depends on. You'll figure out how to reliably pull data from noisy, ever-changing external sources, reconcile feeds that never quite agree with each other, and build the quality checks that catch problems before anyone downstream ever sees them. AI is only as good as the data underneath it, so your work sits squarely on the critical path — if the data foundation is solid, the whole product wins.