Are you ready to make a significant impact on Apple Services? Join the Apple Services Data Science & Analytics team, where we drive decisions that improve customer experience, accelerate growth, and uncover new business opportunities while respecting user privacy. We work on some of the largest e-commerce and media streaming businesses globally, collaborating with partners across product, design, engineering, marketing, editorial, and business teams.
As a Senior Product Data Engineer, you'll be at the forefront of designing, developing, and maintaining robust data pipelines that support Apple Services analytics initiatives. Our mission is to build a comprehensive aggregate data layer enabling efficient executive reporting, customized data applications, and powerful ML inference and analysis.
You'll work closely with data scientists, BI engineers, and business teams to build scalable data solutions. Your role requires bridging the gap between business needs, analytical solutions, and engineering requirements. You'll collaborate with other data engineering teams to scale solutions across Apple Services.
The position demands expertise in data engineering tools and patterns, including PySpark development, orchestration tools, CI/CD processes, and data lake management. You'll be responsible for maintaining pipelines requiring on-call support and monitoring, requiring strong debugging skills and efficient problem-solving abilities.
The role offers competitive compensation including base pay between $147,400 and $272,100, plus opportunities for stock awards, bonuses, and comprehensive benefits. You'll be part of a team that processes billions of daily records, working on critical data infrastructure that powers analytics across Apple's services ecosystem.
Join us to work on challenging technical problems at massive scale, while maintaining Apple's high standards for user privacy and data quality. Your work will directly impact how Apple understands and improves its services for millions of customers worldwide.