Senior Data Engineer, Data Products
# Senior Data Engineer, Data Products **Apple** · Cupertino · `On-site` · `REQ` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Apple* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Machine Learning and AI]` --- ### About the Role At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they are looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, Apple Maps, MLS Season Pass, and F1. Everything we do is designed for trust, connection, and impact: we respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes, from small app developers to big global brands. Because when advertising is done right, it benefits everyone. The Data Products Engineering team is seeking versatile data engineers to build, extend, and operate the near-real-time and batch pipelines at the heart of Apple Ads, and to help design and improve them as you grow. You will ship features, schema changes, backfills, and improvements to petabyte-scale funnel and aggregate pipelines, including privacy-preserving critical pipelines, with strong ownership of quality, reliability, and time to delivery. Depending on your level, you will also own the design of pipeline components, drive reliability and efficiency improvements, and mentor other engineers. You will join a team of world-class data engineers with an appetite for applying leading-edge technologies, and collaborate closely with your pod and with the business to deliver relevant data and insight. This is a high-velocity, AI-native role: you will use AI agents daily to move fast without cutting corners on correctness. You should have 5 plus years of data engineering experience, ideally within the ads or media space, a strong understanding of scalable approaches, and the ability to thrive and stand out under tight deadline constraints in Agile environments. We will calibrate the level and scope to your experience.
- Machine Learning and AI
Наблюдалась 2026-10-10, впервые 2026-10-09, источник — Apple.