Apple Music Data Engineering Software Engineer Job at Apple Inc. in Cupertino

Apple Music Data Engineering Software Engineer

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.

Description

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!

Minimum Qualifications

• Experience with distributed computing technologies such as Hadoop and Spark
• Proficiency in Scala and SQL
• Expertise in designing, implementing and supporting highly scalable data systems and services
• Expertise 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 components
• Solid understanding of data-modeling and data-architecture optimized for big data patterns, such as efficient storage and query on HDFS
• Experience with distributed storage and network resources, at the level of hosts, clusters and DCs, to troubleshoot and prevent performance issues
• Experience with data lake and data warehouse solutions

Preferred Qualifications

• Experience with Apache Flink
• Experience with Apache Iceberg tables
• Experience with Apache Beam
• Familiarity with Docker and Kubernetes
• Familiarity with Apache Airflow

Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

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