Sr. Data Engineer, iCloud

Socket.dev; Cupertino (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Apple is seeking an experienced Data Engineer to design scalable data pipelines and own rich datasets powering iCloud products and platform interactions. You will collaborate with cross-functional teams to deploy forward-thinking data solutions and ensure high-quality data delivery for decision-making across apps.

The role emphasizes expertise in distributed data technologies (Spark/Hadoop), SQL, and AWS familiarity, with a strong emphasis on data architecture and modeling.

Qualifications

• 8+ years of experience 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
• Experience 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

Responsibilities

• 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

Skills

Spark

Java or Python or Scala

Data Principles

Data Architecture & Modeling

SQL

Cross-functional collaboration

AWS cloud basics

Education

MS/BS in CS/Engineering/Math/Stats

Tools

Hadoop

Presto

Flink

Druid

ElasticSearch

Solr

HBase

Cassandra

MongoDB

Job description

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