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, Music, TV+, Fitness+, Arcade, Payments 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 distributed large scale data processing systems, frameworks and platforms using big data technologies.

Description:

Data is our first class citizen and the foundation of any AI features. The volume of the data is on petabytes scale. And we are software engineers who build distributed systems to generate data analytics. The systems should scale well, be highly available and provide consistent results.

The systems we build have significant impact on our stakeholders. 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 businesses, operations, data analytics and AI feature. ","responsibilities":"Join a fast growing team of data engineers to develop and iterate quickly on all stages of data processing.

Lead, design, develop, and drive the unique solutions necessary to scale to Apple Service's diverse data requirements.

Innovate and inspire a scalable data vision for current and extension to support AI needs. Influence internal teams, partners, and stakeholders to execute on that vision.

Drive for quality, scalability and a strong collaborative environment.

Preferred Qualifications:

Strong analytical skills with solid understanding of data structures and algorithms.

Excellent communicator, able to explain complex concepts clearly.

Strong interest in processing data to power embedded and AI features.

Minimum Qualifications:

BS/MS in Computer Science or related field with 8+ years of experience.

Strong programming skills in Java, Scala, SQL, with hands-on experience in distributed compute/storage systems like Spark, Iceberg, Cassandra, Hadoop/HDFS, AWS/S3.

Multi-year experience in big data processing of batch and streaming using Flink and Spark.

Proven ability to lead engineering projects from design to production across teams.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

Pay & Benefits:

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.