Senior Software Engineer - Core Content Engagement Analytics and Data

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products very quickly. Bring passion and dedication to your job, and there's no telling what we can accomplish together. We're looking for a hardworking and passionate person to join this amazing team, and if you feel this is you, we'd love to hear from you!

Apple Services Engineering (ASE) is the team behind high-profile services such as the App Store, Apple iCloud, Apple Music, Apple TV+, Apple Arcade and more.

Our Analytics and Data Engineering team is looking for an exceptional Senior Software Engineer to architect and build the large-scale data applications that are the foundation of our content engagement analytics. These processes are critical for providing accurate and timely insights that drive product development, marketing strategies, royalty payouts and overall business growth.

The people here at Apple don't just build products - they build the kind of wonder that's revolutionised entire industries. It's the diversity of those people and their ideas that encourage the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.

Description

As a Senior Software Engineer for the Core Content Engagement Data team, you will be responsible for designing, developing, and maintaining our huge-scale core data pipelines. You will work closely with peer engineering teams, data scientists and other stakeholders to understand their data needs and deliver innovative solutions. Given the size and complexity of our datasets, this is not a trivial task. This data empowers our product, marketing, and feature teams, and is the lifeblood for analytics and data science. You will be building the engineering backbone that our business leaders and analysts depend on to make critical decisions.

Our ideal candidates have outstanding software development skills and are passionate about Big Data. They pay close attention to details and care about data quality. They also are team players - ready to contribute during design sessions, and able to give and receive constructive code reviews. Their curiosity drives them to explore new technologies and apply creative solutions to problems.","responsibilities":"Lead technical discussions with engineering teams, data scientists, and business stakeholders to define data requirements and drive the execution of complex projects.

Take ownership of the full software development lifecycle: architecting, designing, implementing, and testing highly scalable and efficient data processing pipelines.

Create technical design documents and drive consensus across stakeholders.

Work with our QA and SRE teams to establish and meet quality and reliability goals.

Drive innovation and explore new technologies to improve our data infrastructure.

Represent our team in meetings and drive consensus across participants.

Create reusability across our features and our engineering stack e.g. utilising standard libraries and contributing to their development.

Mentor junior engineers on the team, fostering a culture of technical excellence, and elevating the team's capabilities through code reviews and design guidance.

Preferred Qualifications

Experience building streaming data processing systems.

Experience with Apache Flink, Kafka, Cassandra and/or Spark.

Experience building the data infrastructure to support AIML applications, or applying ML techniques to data engineering challenges (e.g., anomaly detection, data quality monitoring). Interest or experience in the GenAI space is a strong plus.

Minimum Qualifications

Proficiency and hands-on experience in at least one of Java or Scala.

Skilled at writing clean, performant and well-tested code, as well as reviewing and debugging existing code.

Solid Computer Science fundamentals, including algorithms and data structures.

Knowledge of the JVM internals.

A strong command of distributed data processing fundamentals and patterns (e.g., partitioning, data locality, distributed consensus).

Excellent communication skills, with the ability to articulate complex technical designs and concepts to both technical and non-technical stakeholders.

Good critical thinking skills.

Undergraduate degree related to computing or equivalent experience.

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 .