Summary
Apple's App Store is the world's largest and most innovative app marketplace, home to over 1.5 million apps and serving more than half a billion customers every week across all the Apple devices. Since the App Store launched in 2008, it has changed how we all live; it has enabled countless new companies, spawned new industries, and built millions of jobs. But we believe we are just getting started.

We are seeking a hands-on senior data engineer to join the App Store Analytics engineering team focused on Advertising solutions to help drive app discoverability. In this role, you will be part of an analytics team working with product, privacy, and multi-functional engineering teams to design and implement core privacy preserving services and data pipelines, that deliver on Apple's app Store Ads roadmap goals.

Key Qualifications
5+ years of programming experience in Scala (preferred) or Java
Hands-on experience building distributed data processing applications using Spark or Flink, Kafka, Iceberg, Kubernetes & Cassandra or similar technologies
Deep understanding of SQL, data analysis and visualization to drive insights for product and engineering decisions
Proven record in design, implementation, and launching of complex, resilient, reliable, and scalable technical solutions
Understand the Data Lifecycle and concepts such as lineage, governance, privacy, retention, and anonymity
Experience working in a complex, matrixed organization involving multi-functional, and/or cross-business projects
Proven ability to communicate data driven designs clearly to diverse audiences including leadership updates
Demonstrated passion for understanding business context, customer focus, and product quality
Ability to own, drive, and handle ambiguity
Demonstrated ability to be a fast learner and collaborative problem solver
Experience in ads or related domain preferred

Description
In this role, you will be part of a team that will collaboratively ideate to solve novel problems in the area of ads measurement.

You will independently bring data driven technical solutions to the team. You will communicate the solution in a way that synthesizes user, product, and privacy impacts clearly. You will cut through ambiguity, understand end-to-end requirements, and propose engineering solutions that are privacy enhancing, scalable, and reliable. You will implement the designs to a scalable, high quality, and observable set of pipelines and services. You will lean into and pick up new technologies as driven by needs of the project. You will partner with program teams to plan and execute sprint goals. The ideal candidate will mentor engineers, share industry knowledge and contribute to building the team's knowledge and expertise. We are a collaborative, encouraging team embraces challenges and values humility, integrity and dedication to each others' growth.

Education & Experience
Bachelor's degree in Computer Science, Math, Statistics, or a similar field. Master's preferred.

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