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Cupertino, California
Source: Apple careers · View original posting
From Apple's posting. “We” and “our” refer to the employer.
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.
Description
At Apple Ads, we are building the next generation of privacy-focused advertising capabilities. As part of the data organization, we work at the cutting edge of data engineering, machine learning, and privacy at Apple scale. We are constantly developing data products to provide amazing user experiences and to drive value for developers and publishers. As a member of the Data Products Engineering team, you will:
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan.
You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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