Data Engineer • Mid-Level

Who you are

You have a solid background in data engineering with experience in building scalable data platforms — you've designed and implemented systems that handle large datasets efficiently and reliably. Your proficiency in Java and Python allows you to craft robust data processing pipelines that meet high throughput and reliability standards.

You are familiar with cloud technologies, particularly AWS, and understand how to leverage its services for data storage and processing. Your experience with SQL enables you to query and manipulate data effectively, ensuring that insights are derived from the data you manage.

You have hands-on experience with big data technologies such as Apache Spark, which you have used to process and analyze large volumes of data. Your knowledge of containerization tools like Docker and orchestration platforms like Kubernetes helps you deploy and manage applications in a cloud environment.

You are a collaborative team player who enjoys working with cross-functional teams, including product managers and software engineers, to deliver features that enhance user experience. Your analytical mindset drives you to continuously improve data processes and systems.

Desirable

Experience with machine learning frameworks is a plus, as you may work on projects that involve data-driven personalization for Apple Music. Familiarity with data visualization tools can also be beneficial for presenting insights to stakeholders.

What you'll do

As a Data Engineer on the Apple Music team, you will be responsible for building and maintaining the big data platform that supports various customer features. You will design and implement data ingestion processes that ensure high-quality data is available for analysis and reporting.

You will collaborate with product teams to understand their data needs and translate them into technical requirements. This involves crafting data models that support analytics and reporting, ensuring that the data is structured in a way that is easy to query and analyze.

You will run experiments to optimize data processing workflows, focusing on performance and scalability. Your role will involve monitoring data pipelines and troubleshooting any issues that arise, ensuring that data is processed accurately and in a timely manner.

You will also contribute to the development of internal tools that enhance data accessibility for other teams within Apple Music. This may include creating dashboards or reports that provide insights into user behavior and system performance.

What we offer

Apple offers a dynamic work environment where you can collaborate with a team of talented engineers who share your love for music. You will have the opportunity to work on impactful projects that enhance the user experience for millions of Apple Music subscribers.

We provide competitive compensation and benefits, including health insurance, retirement plans, and employee discounts on Apple products. You will also have access to professional development resources to help you grow your skills and advance your career within the company.

Join us at Apple Music, where your work will contribute to creating the world's most complete music experience. We encourage you to apply even if your experience doesn't match every requirement — your passion for data and music is what matters most.