Summary

Posted: Oct 24, 2024

Weekly Hours: 40

Role Number:200575581

Would you like to drive the future of Apple's products, applications, and platform while having the unique opportunity to impact some of the most far-reaching software applications in the world? iCloud Data organization enables Apple to ship better products for iCloud users to access all their content across apps (Photos, Mail, Messages, FaceTime, Calendar etc) from all of their devices all the time by providing consistent, scalable, timely, accurate, complete and fully integrated data infrastructure and capabilities to accurately surface relevant information If this excites you and you are energized by solving hard, high-leverage problems at scale, we'd love to hear from you! We're looking for exceptional data engineers who have a strong background in distributed data processing, have great and demonstrable data intuition, and share our passion for continuously improving the ways we use data to make the Apple's products, applications, and platform better.

• 8+ years of experience working with Spark and other distributed data technologies (e.g. Hadoop, Presto, Flink, Druid) for building efficient & large scale data pipelines.
• Highly proficient in at least one of Java, Python or Scala.
• Deep expertise in Data Principles, Data Architecture & Data Modeling, Strong SQL skills.
• Strong problem solver with meticulous attention to detail, capable of taking on loosely defined problems.
• Experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projects
• Strong communication and collaboration skills & ability to lead high-level discussions on technology strategy and approach
• Conceptually familiar with AWS cloud resources (S3, EC2, RDS etc)
• MS or BS or equivalent experience in Computer Science, Engineering, Mathematics, Statistics or a related field OR equivalent practical experience in Software or Data Engineering.

• Experience with Cloud Computing platforms like Amazon AWS, Google Cloud.
• Experience with building stream-processing applications using Apache Flink, Spark-Streaming, Apache Storm, Kafka Streams or others.
• Experience with Search systems (such as ElasticSearch, Solr), NoSQL datastores (such as HBase, Cassandra, MongoDB).
• Experience building distributed, high-volume data services is a plus.

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 $166,600 and $296,300, 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.

• Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.