The Data Products Engineering team at Apple Ads is seeking experienced data engineers to build and operate scalable data pipelines for advertising solutions. This role involves working with cutting-edge technologies to ensure data quality and privacy while delivering insights for advertisers. Engineers will collaborate closely with product managers and other engineers to enhance data processing systems. The position emphasizes a proactive approach to problem-solving and efficiency in a fast-paced, agile environment.

• 5+ years of industry experience building distributed, scalable data pipelines
• Proficiency with modern programming languages such as Scala, Java, or Python
• Strong computer science and data-engineering fundamentals
• Experience with distributed data processing technologies like Spark, Kafka, and Flink
• Demonstrated innovative, critical thinking and troubleshooting skills
• Experience owning the design and architecture of pipeline components or services
• Prior experience in the advertising industry is a huge plus

• Engineer and operate secure, scalable data processing systems across real-time, near-real-time, and batch execution contexts
• Deliver features, schema changes, backfills, and fixes with clean, well-tested, well-documented code
• Own the design of pipeline components and drive reliability and efficiency improvements
• Use AI coding agents to accelerate implementation, test coverage, and debugging
• Contribute to on-call, monitoring, and the continuous improvement of pipeline reliability and efficiency
• Collaborate with a team of world-class data engineers and product managers
• Work effectively in a rapidly changing, sprint-based, agile environment

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.