Staff Engineer, App Store Analytics & Data Engineering

Apple • Cupertino, CA

6h

About The Position

In this role you will design and lead implementation of core mechanisms that support marketing measurement in a privacy-preserving environment. This role requires strong systems thinking, careful consideration of trade-offs, and the ability to translate complex ideas into simple, scalable platform capabilities. You will work at the intersection of system architecture, privacy engineering, and advertising ecosystem - shaping how measurement frameworks evolve at global scale. The ideal candidate possesses a deep understanding of the advertising technology landscape, a passion for data-driven measurement, a proven ability to contribute to and communicate a compelling product vision, and a deep commitment to user privacy.

Requirements

• 10+ years of experience in software engineering
• Demonstrated ability to define and drive long-term technical strategy, influencing product direction and engineering roadmaps
• Proven track record of leading the design and delivery of complex, high-impact data or measurement platforms at global scale
• Deep expertise in distributed systems and data warehousing concepts (Java, Python, Spark, Trino, Hadoop, Cassandra, Kafka, Snowflake)
• Strong SQL, data analysis and visualization skills to define hypotheses, evaluate experiments, measure business impact, and communicate insights effectively
• Hands-on knowledge of the advertising technology ecosystem, including attribution, measurement, and optimization methodologies
• Exceptional communication and leadership skills, with experience influencing senior leadership and aligning cross-functional stakeholders
• Bachelor’s degree in Computer Science, Computer Engineering or equivalent experience

Nice To Haves

• Experience designing or deploying privacy-enhancing technologies such as differential privacy, federated learning, secure multi-party computation, or on-device intelligence
• Understanding of privacy related regulations and policies (e.g., GDPR, CCPA) and their impact on system design
• Participation in industry standards committees focused on privacy or advertising measurement
• Deep expertise in advertising measurement domains such as attribution modeling, incrementally testing, conversion measurement, or campaign optimization
• Experience building publicly facing platforms or APIs with a focus on usability, scalability, and ecosystem adoption

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees