Data Engineer, Apple Ads

At Apple we focus deeply on the customer experience. Apple Ads brings this same approach to advertising helping people find exactly what theyre 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 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 will join a team of world-class engineers with an appetite for applying leading-edge technologies to deliver extraordinary experiences to our customers and collaborate closely with the business to deliver relevant data and insight that informs our strategy and should have 1 years of experience in software engineering roles ideally within the ads or media space. You will have a strong 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. We will calibrate the level and scope to your experience.

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 Apples scale. We are constantly developing data products to provide amazing user experiences and to drive value for developers and publishers.

Engineer secure scalable data and machine learning systems across real-time near-real-time and batch execution contexts using Spark Kafka Iceberg and beyondnOwn the design and delivery of core components from pipeline architecture to ML model development training and deployment including support for privacy-preserving mission-critical infrastructurenDrive reliability performance and efficiency improvements across your systems including schema changes backfills and the experimentation and testing infrastructure (e.g. A/B testing) needed to validate themnApply a strong understanding of the intersection between business analytics and engineering with a proactive focus on reusable efficient solutionsnUse LLMs and AI coding agents (e.g. Claude Gemini) daily to accelerate implementation testing and debugging continually validating every result for correctness privacy and costnCollaborate with a team of world-class engineers and product managers; grow through code and design reviews and mentor others as you gain senioritynContribute to on-call monitoring and continuous reliability and efficiency improvements; more senior engineers help lead incident response and root-cause analysisnWork effectively in a rapidly changing sprint-based Agile environment and contribute to a culture that emphasizes reliability resiliency extensibility scalability and productivity. We are one team nurturing each others growth and supporting each other in delivering for our customers and ApplenDevelop efficient data transformations aggregations joins and data-processing algorithms over large datasets.

1 years of industry experience building scalable data pipelines and machine learning systems or other distributed software at scalenStrong computer science and software engineering fundamentalsnProficiency in modern programming languages such as Rust Python Java or ScalanExperience with distributed systems and data processing technologies (e.g. Spark Kafka Flink)nExperience building and scaling systems on premise and in the cloudnSolid understanding of data structures algorithms and system design principlesnAbility to communicate effectively with cross-functional technical and non-technical teamsnHands-on experience using LLMs (e.g. Claude Gemini) in daily engineering work for code generation review debugging test writing agentic loops and evaluation systems to continually improve software engineering skills and velocitynExcellent collaborative skillsnBS/MS in Computer Science Software Engineering Distributed Systems or a related field

Experience with NoSQL datastores (e.g. Cassandra Keyspaces ElastiCache)nExperience with lakehouse and Iceberg table formatsnExperience with anomaly detectionnExperience with A/B experimentation frameworksnHistory of driving reliability efficiency or cost improvements and mentoring other engineersnComfortable working in a rapidly changing environment with ambiguous requirementsnPrior experience in the advertising industry is a huge plus