The AI and Machine Learning team at Apple is seeking a Senior Data Engineer to develop world-class data infrastructure and solutions. This role involves close collaboration with machine learning researchers, engineers, and data scientists to support the Apple Foundation Model lifecycle. The focus is on designing, building, and maintaining scalable data pipelines and platforms that enable reliable analytics and machine learning capabilities. The position requires a strong software engineering foundation and expertise in data engineering and distributed systems.

• Minimum 10+ years of experience in data engineering, backend engineering, or distributed systems.
• Strong hands-on experience designing and building large-scale batch and streaming data pipelines using Python.
• Expertise in ETL/ELT development and event-driven architectures.
• Deep expertise in the Google Cloud Platform data ecosystem, including BigQuery and Dataflow.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.

• Design, build, and maintain scalable data pipelines and data integration solutions.
• Enable reliable analytics, machine learning, and business intelligence capabilities across the organization.
• Optimize and operate scalable data platforms with strong performance tuning and cost optimization.
• Support ML pipelines and MLOps workflows, including feature engineering and training data generation.
• Collaborate in cross-functional teams to influence architecture decisions and drive technical direction.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.