This team is more than a group of engineers — it’s a group of music lovers. That passion has made Apple Music the world’s most complete music experience, with over 60 million songs, thousands of playlists, and daily selections from music experts for 115 countries. The team’s data-driven engineers focus relentlessly on the customer experience by running worldwide experiments and analyzing usage and latency, while collaborating with Apple’s product groups. As a result, someone can use the Shazam app to identify an intriguing song in a café in the morning, add it to their playlist from Apple Watch, listen to it through their AirPods on their commute, and share it with their family on HomePod at dinnertime. And there’s more where that came from, because personalization powered by machine learning and music science helps listeners discover more of what they love. Apple Music is a huge part of Apple’s business because it’s a big part of people’s lives.

We are seeking a hardworking, performance-savvy, engineer to build out the big data platform and services, which power many of these customer features — existing and new. As a core member of the Data Engineering team you will be responsible for designing and implementing features that rely on processing and serving very large datasets with an awareness of scalability. This will include crafting systems to model, ingest, process and compute large-scale, mission-critical data across Apple Music. High-throughput and reliability are essential. The computed datasets are produced for internal reporting used by executives and they are also shared across many teams within the ASE organization, such as the Search team, Recommendation team, AB team, Marketing team. You will also enjoy the benefits of working in a fast growing business where you are encouraged to “Think Different” to solve very interesting technical challenges and where your efforts play a key role in the success of Apple’s business. This is your opportunity to help engineer highly visible global-scale systems with petabytes of data, supporting hundreds of millions of users. Come join us to help deliver the next amazing Apple product!

Experience with distributed computing technologies such as Hadoop and SparkProficiency in Scala, Java and SQLExpertise in designing, implementing and supporting highly scalable data systems and servicesExpertise building and running large-scale data pipelines, including distributed messaging such as Kafka, data ingest from various sources to feed batch and near-realtime or streaming compute componentsSolid understanding of data-modeling and data-architecture optimized for big data patterns, such as efficient storage and query on HDFSExperience with distributed storage and network resources, at the level of hosts, clusters and DCs, to troubleshoot and prevent performance issuesExperience with data lake and data warehouse solutions