Software Data Engineer, Apple Services Engineering

Summary
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you can accomplish. Would you like the stimulation and challenges of building world-class, extraordinary scalable systems that power App Store, Apple Music, Apple TV+, Apple Fitness+, Apple Arcade and many more? Then this is the opportunity for you at Apple! We strive to provide a flawless experience for millions of customers and developers. We are seeking a Software Engineer to join Apple Services Engineering (ASE) who brings deep passion for building large scale distributed data processing applications, frameworks and platforms using big data technologies. You will partner with Data Science & Analytics, Search, Recommendation & Marketing teams and work collaboratively to make a significant impact on Apple TV+ customers.



Description
Data is our first class citizen. The volume of the data is on petabytes scale. And we are software engineers who build distributed systems to generate data insights. The systems should scale well, be highly available and provide consistent results. The systems we build have significant impact on our collaborators who develop search and recommendation algorithms for Apple customers. And most importantly, we are deeply committed to Apple's privacy policy, which forms Apple's core values. You will have important responsibility and influence in designing and building the data platform to empower data analytics and delivering the solutions that have significant impact on Apple TV+ products.

- An ideal candidate will lead and drive partner teams towards successful implementation of the full solution. We are looking for someone with a love for data and ability to iterate quickly on all stages of data pipelines.

- This position involves working on a small team to develop large scale data pipelines and analytical solutions using big data technologies.

- Successful candidates will have strong engineering skills and communication.

- The ideal candidate has a real passion for quality and an ability to understand complex systems. If this sounds like you, then we would love to hear from you.

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