Software Development Engineer - Data
Apple · Cupertino ·
- Category
- Software engineering
- Experience
- 1+ years
- Visa sponsorship
- Yes
- Company size
- 1000+
Apple · Cupertino ·
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Builds and maintains data pipelines and reporting systems for Apple's online media platform, migrating legacy infrastructure to modern cloud-native solutions while ensuring compliance and operational accuracy.
At Apple, the content that reaches hundreds of millions of people: music, films, books, podcasts, and apps, is underpinned by sophisticated data systems that run quietly and reliably at scale. The ASE Content Data Engineering team builds and maintains the reporting infrastructure, data pipelines, and data models that keep Apple's online media platform informed, compliant, and moving forward.
We are looking for a Software Development Engineer - Data to join our Reporting & Data Models team. In this role, you will modernize and automate legacy data pipelines, build new reporting solutions, maintain a large and complex reporting estate across Oracle and cloud-native platforms, and help deliver compliance extracts that meet real-world legal deadlines across multiple jurisdictions. If you enjoy working on systems that matter, where your engineering choices directly impact operational accuracy, regulatory compliance, and business intelligence for one of the world's largest media platforms, we would love to hear from you.
The ASE Content Data Engineering team is responsible for the internal business intelligence infrastructure that powers Apple's online media store. The data models and reports developed by this team supply information to engineering, business operations, and external content providers regarding the status of online media, including workflow status, availability, and incoming and outgoing volume. This engineer will own and evolve a large portfolio of data pipelines and reporting systems, driving the ongoing migration from legacy infrastructure to modern pipeline orchestration and cloud-based storage, while also delivering net-new reports and data models in response to business, engineering, and regulatory needs. The role demands a blend of engineering rigor, data fluency, and a strong reliability mindset: the team's reports directly support legal and compliance obligations with hard, externally-imposed deadlines. The ideal candidate brings a bias toward automation and self-healing pipelines over manual intervention, and is comfortable managing a broad portfolio of concurrent work, balancing urgent pipeline fixes against longer-horizon migration and enhancement projects. They can independently troubleshoot and resolve ambiguous, production-impacting issues under time pressure, and communicate technical findings clearly to non-engineering stakeholders across legal, business operations, and content provider teams. Knowledge of or genuine curiosity about online media is a plus.
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