Apple
Weekly Hours:
40
Role Number:
200620742-0836
Summary
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!
Description
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.
Join a stunning team of data experts with diverse skill set, and deliver excellent solutions that better enable our decision-making process
Minimum Qualifications
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
Preferred Qualifications
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
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. (https://www.apple.com/careers/us/benefits.html)
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 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
40
Role Number:
200620742-0836
Summary
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!
Description
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.
Join a stunning team of data experts with diverse skill set, and deliver excellent solutions that better enable our decision-making process
Minimum Qualifications
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
Preferred Qualifications
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
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. (https://www.apple.com/careers/us/benefits.html)
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 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .