As a member of the Music Data Engineering team at Apple, you will focus on building data processing pipelines and services that enhance the customer experience of Apple Music. This role involves designing complex and scalable applications to manage large-scale, mission-critical data. You will work closely with engineers, researchers, and product teams to develop innovative solutions. Your contributions will directly impact how users interact with Apple Music and related products.

• Significant experience in designing, implementing, and supporting highly scalable data systems and services in Java and/or Scala.
• Bachelor's degree or equivalent in Computer Science or a related discipline.
• Experience in Spark, Kafka, and Web Services is preferred.
• Knowledge of large-scale data processing technologies such as Spark, Flink, Hadoop, and AWS Lambda.
• Familiarity with Docker, Kubernetes, Maven, Gradle, Git, and other related software lifecycle tools.

• Build data processing pipelines and services to power customer features in Apple Music.
• Design complex and highly scalable applications to model, ingest, compute, and serve large-scale data.
• Collaborate with technical staff across engineering, research, product, and business teams to find optimal solutions.
• Run worldwide experiments and analyze usage and latency to improve customer experience.
• Troubleshoot and prevent performance issues related to distributed storage and network resources.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.