Software Engineer (Data Engineering)
Apple
Software Engineering, Data Science
New York, NY, USA
Posted on May 7, 2025
At Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. 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. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. We are looking for an ambitious and versatile Software Engineer who will be a key member of our team, delivering data products that solve exciting business problems. Responsibilities range from designing and implementing core stream-processing capabilities, to supporting privacy preserving critical pipelines. You will have the opportunity to define, refine, and refactor approaches, designs, and architectures to meet the data engineering challenges we must solve. You will join a team of world-class data engineers with an appetite for applying leading-edge technologies to deliver extraordinary experiences to our customers. You will play a meaningful role building data products that deliver on Apple's privacy commitments and change the way advertising works with data. You will collaborate closely with the business to deliver relevant data and insight to inform our strategy and decisions. You should have 3+ years experience in data engineering roles, ideally within the ads or media space. You will have an excellent understanding of scalable approaches and thrive working in Agile environments. The ability to be a good standout colleague under tight deadline constraints is key to success!