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
Bachelor’s degree in Engineering, Computer Science, Business Information Systems, or related field
At least 5+ years relevant industry experience
Proficiency and hands-on experience in at least one of Java or Scala.
Experience with Apache Flink or Spark
Skilled at writing clean, performant and well-tested code, as well as reviewing and debugging existing code.
Solid Computer Science fundamentals, including algorithms and data structures.
A strong command of distributed data processing fundamentals and patterns (e.g., partitioning, data locality, distributed consensus).
Excellent communication skills, with the ability to articulate complex technical designs and concepts to both technical and non-technical stakeholders.
Good critical thinking skills.
Preferred Qualifications
Experience with Apache Iceberg tables
Experience with Apache Beam
Familiarity with Docker and Kubernetes
Familiarity with Apache Airflow
Responsibilities
Lead technical discussions with engineering teams, data scientists, and business stakeholders to define data requirements and drive the execution of complex projects.
Take ownership of the full software development lifecycle: architecting, designing, implementing, and testing highly scalable and efficient data processing pipelines.
Create technical design documents and drive consensus across stakeholders.
Work with our QA and SRE teams to establish and meet quality and reliability goals.
Design, implement and support highly scalable data systems and services
Build large-scale data pipelines, including data ingest from various sources to feed batch and near-realtime or streaming compute components
Drive innovation and explore new technologies to improve our data infrastructure.
Represent our team in meetings and drive consensus across participants.
Create reusability across our features and our engineering stack e.g. utilising standard libraries and contributing to their development.
Mentor junior engineers on the team, fostering a culture of technical excellence, and elevating the team’s capabilities through code reviews and design guidance.
Eeo Content
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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.
