Music Data Engineer - Scale Global Pipelines & Services

Apple, Inc.; New York (NY); On-site; USD 150,000 - 278,000; Full time

Job summary

Apple Music’s Data Engineering team in New York City builds data pipelines powering key features. You will design scalable data systems and services to model, ingest, compute and serve large-scale data for Apple Music, collaborating with cross‑functional teams to improve the customer experience.

You will work on high‑throughput, low-latency data platforms using Spark, Kafka, and Java/Scala, while mentoring others and driving best practices in a fast‑growing environment.

Qualifications

• 3+ years of software development experience.
• Experience in Spark, Kafka and Web Services.
• Significant experience designing scalable data systems in Java and/or Scala.
• Bachelor's degree in Computer Science or related discipline.

Responsibilities

• Design and implement features that process and serve large datasets with high throughput and reliability.
• Collaborate across engineering, research, product and business teams to deliver data-powered Apple Music features.
• Provide technical guidance and best practices while delivering hands-on development.
• Communicate effectively with technical and non-technical stakeholders.

Skills

Spark

Kafka

Web Services

Java

Scala

Education

Bachelor's degree in Computer Science or related discipline

Tools

Docker

Kubernetes

Git

Maven

Gradle

AWS/Lambda

S3

Job description

Apple Music’s Data Engineering team in New York City builds data pipelines powering key features. You will design scalable data systems and services to model, ingest, compute and serve large-scale data for Apple Music, collaborating with cross‑functional teams to improve the customer experience.

You will work on high‑throughput, low-latency data platforms using Spark, Kafka, and Java/Scala, while mentoring others and driving best practices in a fast‑growing environment.