Sr. Development Data Engineer, Music, Books, & Podcasts Content Data Services
The Apple Services Engineering team is one of the most exciting examples of Apple’s passion for combining art and technology. These are the people who power the Apple Music, App Store, Apple TV, Apple Fitness+, Apple Podcasts, and Apple Books and more. And they do it on a massive scale, meeting Apple’s high expectations with high performance to deliver a huge variety of entertainment in over 37 languages to more than 175 countries. These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services.
Come and join a team working on systems and data pipelines whose data powers core features in Apple Music.
Thanks to Apple’s outstanding integration of hardware, software, and services, engineers here partner to get behind a unified vision. That vision always includes a deep dedication to strengthening Apple’s privacy policy, one of Apple’s core values. Although services are a bigger part of Apple’s business than ever before, these teams remain nimble, and cross-functional, offering greater exposure to the array of opportunities here.
As a member of our team you will be working on services and data pipelines directly supporting features in Apple Music, Books, and Podcasts. You’ll have the opportunity to evolve and own the future of several core data sets used within Apple Music. You will be responsible for crafting an approach to ensuring that these datasets maintain data quality thresholds as they evolve.
You will be a self starting, ambitious individual who is not afraid to question assumptions. You will have excellent written and oral skills. You will have the ability to optimally work and communicate technical concepts with all levels of the engineering organization as well as our partner in operations, legal, and business development.
You should have several years of experience developing server-side software using Java/Scala and preferably have experience working with Spark data pipelines. You live and breath automation, and believe in continuous improvement.
You should join our team to help deliver the next amazing Apple product!
- At least 5+ years and Bachelor’s degree, or equivalent work experience in Engineering, Computer Science, Business Information Systems, or similar.
- Experience with distributed computing technologies like Hadoop, Spark, Flink
- Proficiency in Scala, Java, and SQL.
- Familiarity with data visualization tools, excellent analytical and critical thinking skills, and the ability to communicate sophisticated insights effectively.
- Expertise in crafting, implementing, and supporting highly scalable data systems and services.
- Expertise in building and running large-scale data pipelines, including distributed messaging systems like Kafka, data ingestion from various sources to feed batch and near-realtime or streaming compute components.
- A solid understanding of data modeling and architecture optimized for big data patterns, such as efficient storage and querying on HDFS.
- Experience with distributed storage and network resources, including hosts, clusters, and Data Centers, to troubleshoot and prevent performance issues.
- Strong written and oral communication skills
- Familiarity with Data Quality Attributes
- Data analysis and data science background are preferred.
- Familiarity with Apache Iceberg tables, Docker, Kubernetes, and Apache Airflow is also helpful.
- A background in data science or statistics, with the ability to provide scientific support to the team.
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.