This role seeks extraordinary software engineers with extensive experience in scalable batch and streaming processing systems. The team focuses on advancing Apple's data infrastructure by implementing innovative capabilities and tools. Engineers will collaborate with open source data experts to enhance and automate infrastructure management across data centers and cloud services. The work will contribute to the resilience, scalability, and performance of systems supporting millions of users worldwide.

• 8+ years of professional experience in software engineering.
• Demonstrated aptitude as an engineer who has worked on distributed systems.
• At least 2 years of experience running production applications using Apache Spark.
• BS or MS degree in computer science or equivalent.
• Good knowledge of Apache Iceberg and Apache Kafka.
• Experience working on or building connectors from Spark to various data sources.
• Knowledge of Yarn, Kubernetes, or other compute substrates.

• Advance data infrastructure by implementing cutting-edge capabilities and tools.
• Collaborate closely with a dedicated team of open source data experts.
• Enhance and automate infrastructure management across data centers and cloud services.
• Drive innovation to improve the performance of distributed computing frameworks.

• 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.