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# Software Engineer, Apple Services Engineering - Music Data Engineering

- **Company:** Apple Inc.
- **Location:** New York, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon S3, Big Data, Information Engineering, Data Stores, Data Systems, Distributed Data Store, Gradle, Apache Hadoop, Apache Maven, NoSQL, Dropwizard, Software Engineering, Web Services, Apache Spark, AWS Lambda, Git, Kubernetes, Information Technology, Low Latency, Apache Flink, Cassandra, Apache Kafka, Spark Streaming, Data Pipelines, Software Library, Docker
- **Published:** October 12, 2026
- **Apply:** https://www.dice.com/job-detail/0c16dbda-2230-4ad7-bd79-f72da682cd35

## About the Role

Significant experience in designing, implementing and supporting highly scalable data systems and services in Java and/or Scala

Bachelors/equivalent, or greater, in Computer Science or related discipline

Preferred Qualifications

Experience in Spark, Kafka and Web Services preferred (see below)

Designing Java-based micro-services using best practices and open-source libraries including DropWizard, Sprint,

Large-scale data processing technologies in particular Spark / Spark-SQL / Spark Streaming, Flink, Hadoop, Object-Stores, AWS Lambda or similar

Building and running large-scale data pipelines, including distributed messaging such as Kafka, data ingest to/from multiple sources to feed batch and near-realtime/streaming compute components

Knowledgable about distributed storage and network resources, at the level of hosts, clusters and DCs, to troubleshoot and prevent performance issues

Experience with any low-latency NoSQL datastores, including Cassandra and S3

Familiarity with Docker, Kubernetes, Maven, Gradle, Git and other related software lifecycle tools

## Description

As a member of the Music Data Engineering team, you will build data processing pipelines and services to power many of the customer features in Apple Music. You will design complex and highly scalable applications to model, ingest, compute and serve large-scale, mission-critical data. You will collaborate with technical staff across engineering, research, product and business teams to find the best solutions and create innovative products, all in support of our customers' experience of Apple Music.