Data Engineer

Apple Silicon is seeking a Data Engineer to deliver data-driven insights for developing next-generation Apple products. The role involves building and improving data infrastructure, including parsing semiconductor test data, prioritizing and storing it in databases, and delivering curated datasets to engineering teams. Key responsibilities include:

• Becoming a domain expert in data usage, availability, and structure
• Improving and enhancing databases and data pipelines
• Developing data sources (materialized views, projections) to support reporting and machine learning projects
• Developing APIs and other methods for data access
• Collaborating with semiconductor product and test engineering teams to understand data needs and develop data delivery solutions
• Working with infrastructure teams, including DBA & IT, to ensure accurate functioning of data pipelines and data warehouse health

The ideal candidate will have strong skills in processing large datasets, database design, Python programming, and Linux systems. Knowledge of semiconductor processes, STDF parsing, and machine learning is beneficial. This role offers an opportunity to contribute to Apple's cutting-edge technology development while working with state-of-the-art data systems.