Overview
On Site
USD 170,700.00 - 300,200.00 per year
Full Time
Skills
Data processing
Data architecture
IT strategy
Amazon S3
Amazon EC2
Unstructured data
Use cases
Data
IMPACT
FAR
Apache Spark
Apache Hadoop
Apache Flink
Java
Python
Governance
Privacy
SQL
Communication
Collaboration
Leadership
Amazon Web Services
Cloud computing
Amazon RDS
Microsoft Excel
Adaptability
Job Details
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 informationIf 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.
Key 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 ScalaDeep expertise in Data Principles, Data Architecture & Data ModelingUnderstand the Data Lifecycle and concepts such as lineage, governance, privacy, retention, anonymity, etcStrong SQL skills Experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projectsStrong communication and collaboration skills & ability to lead high-level discussions on technology strategy and approachConceptually familiar with AWS cloud resources (S3, EC2, RDS etc)Who are you:You are tenacious, relentless and determinedYou are curious: always learning new technologies, rapidly synthesizing new information, and understanding "the why" before "the what."You excel at taking vague requirements and crystallizing them into scalable data solutionsYou are excited about demonstrating excellence, and learning new technologies and frameworks
Description
What you will do:* Engineer efficient, adaptable and scalable data pipelines to process structured and unstructured data* Own and evolve extremely rich datasets on iCloud products and platform interactions to power a wide variety of use cases* Build forward-looking data solutions that interface well with existing systems and use judgement to bring cutting edge technologies in the industry to suit iCloud needs.* Understand how key technical decisions will drive business outcomes and deliver/aid data frameworks and platforms that improve delivery with high-quality to those outcomes by partnering with cross functional teams.* Join a stunning team of data experts with diverse skill set, and deliver excellent solutions that better enable our decision-making process
Education & Experience
Bachelor's degree in Computer Science, Engineering or or equivalent work experience in data engineering.
Pay & Benefits
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 informationIf 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.
Key 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 ScalaDeep expertise in Data Principles, Data Architecture & Data ModelingUnderstand the Data Lifecycle and concepts such as lineage, governance, privacy, retention, anonymity, etcStrong SQL skills Experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projectsStrong communication and collaboration skills & ability to lead high-level discussions on technology strategy and approachConceptually familiar with AWS cloud resources (S3, EC2, RDS etc)Who are you:You are tenacious, relentless and determinedYou are curious: always learning new technologies, rapidly synthesizing new information, and understanding "the why" before "the what."You excel at taking vague requirements and crystallizing them into scalable data solutionsYou are excited about demonstrating excellence, and learning new technologies and frameworks
Description
What you will do:* Engineer efficient, adaptable and scalable data pipelines to process structured and unstructured data* Own and evolve extremely rich datasets on iCloud products and platform interactions to power a wide variety of use cases* Build forward-looking data solutions that interface well with existing systems and use judgement to bring cutting edge technologies in the industry to suit iCloud needs.* Understand how key technical decisions will drive business outcomes and deliver/aid data frameworks and platforms that improve delivery with high-quality to those outcomes by partnering with cross functional teams.* Join a stunning team of data experts with diverse skill set, and deliver excellent solutions that better enable our decision-making process
Education & Experience
Bachelor's degree in Computer Science, Engineering or or equivalent work experience in data engineering.
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 $170,700.00 and $300,200.00, 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.