The Risk and Vulnerability Management (RVM) team at Apple Services Engineering is seeking a Staff Data Engineer to lead the data engineering and architecture efforts for a new security data platform. This role involves managing data from various sources to create a prioritized backlog for engineering teams and providing insights for leadership. The ideal candidate will have extensive experience in distributed data technologies and a strong understanding of data principles. Success in this position requires excellent problem-solving skills and the ability to navigate a complex organizational structure.

• 15+ years of experience working with Spark and other distributed data technologies such as Hadoop, Presto, Flink, and Druid.
• Highly proficient in at least one of Java, Python, or Scala.
• Deep expertise in Data Principles, Data Architecture, and Data Modeling.
• Strong SQL skills and meticulous attention to detail.
• Experience working in a complex, matrixed organization involving cross-functional projects.
• Strong communication and collaboration skills.
• Conceptually familiar with AWS cloud resources like S3, EC2, and RDS.
• Understanding of the OSI model and network operations.
• Familiarity with the full technology stack from BMCs to applications.

• Own the data model and pipeline contracts for engineering teams.
• Move data pipelines from prototype to production.
• Make ownership attribution and risk enrichment a standardized service.
• Lead discussions on technology strategy and approach.
• Consolidate data findings onto a single security data platform.

• 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.