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Apple Sr Development Data Engineer Music Books & Podcasts Content Services United States, Washington, Seattle 262415875
21.04.2025
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.
- 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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