Sr. Data Engineer, iCloud

Apple Inc.; Cupertino (CA); On-site; USD 185,000 - 325,000; Full time

Job summary

Apple Inc. is seeking exceptional data engineers to design and operate scalable data pipelines for iCloud. You will own rich datasets and build forward-looking data solutions that power product experiences and platform decisions.

You will collaborate with cross-functional teams, applying distributed data processing, data modeling, and SQL to deliver high-quality insights at scale. This role is based in Cupertino, CA, with strong compensation and benefits.

Qualifications

• 8+ years of experience with Spark and distributed data technologies for large-scale pipelines.
• Highly proficient in Java, Python or Scala.
• Deep expertise in data principles, architecture & modeling, plus strong SQL.
• Strong problem solving and attention to detail in a matrix organization.
• Experience collaborating across cross-functional projects.
• Familiar with AWS cloud resources (S3, EC2, RDS).
• MS or BS in CS/Engineering/Math/Statistics or equivalent practical experience.

Responsibilities

• Engineer efficient, adaptable and scalable data pipelines for structured and unstructured data.
• Own and evolve rich datasets on iCloud products and platform interactions.
• Build data solutions that interface with existing systems and cutting-edge tech.
• Partner with cross-functional teams to drive data-driven decisions.

Skills

Spark

Hadoop

Presto

Flink

Druid

Java

Python

Scala

SQL

Data modeling

Data architecture

AWS

Education

MS/BS in CS/Engineering/Mathematics/Statistics or related field

Tools

AWS

S3

EC2

RDS

Job description

Cupertino, California, United States Software and Services

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.

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.

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 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

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 $184,700 and $324,800, 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 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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn more about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.