This role involves driving the future of Apple's products and applications by engineering efficient data pipelines and improving data infrastructure for iCloud. The team focuses on processing both structured and unstructured data to enhance user experience across various applications. Candidates will work with a diverse group of data experts and tackle complex problems that impact business outcomes. The position requires a strong background in distributed data processing and a passion for leveraging data to improve Apple's offerings.

• 8+ years of experience working with Spark and other distributed data technologies such as Hadoop, Presto, Flink, and Druid.
• Highly proficient in at least one programming language: Java, Python, or Scala.
• Deep expertise in Data Principles, Data Architecture, and Data Modeling with strong SQL skills.
• Experience working in a complex, matrixed organization involving cross-functional projects.
• Conceptually familiar with AWS cloud resources including S3, EC2, and RDS.
• MS or BS in Computer Science, Engineering, Mathematics, Statistics, or a related field, or equivalent practical experience.

• Engineer efficient, adaptable, and scalable data pipelines to process structured and unstructured data.
• Own and evolve rich datasets on iCloud products and platform interactions to support various use cases.
• Build forward-looking data solutions that integrate well with existing systems and utilize cutting-edge technologies.
• Understand how key technical decisions impact business outcomes and deliver data frameworks that enhance delivery quality.
• Collaborate with cross-functional teams to deliver excellent solutions that improve decision-making processes.

• 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.