Senior Data Engineer, iCloud

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$184,700–$324,800 / yr
Posted
30 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $179k
This role $255k
$110k most similar roles pay here $348k

This role pays more than 92% of similar roles. Most pay $132,670–$225,462 — the shaded band above. At the midpoint, this role pays about $255k versus about $179k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Senior Data Engineer, iCloud

As a Sr. Data Engineer, iCloud, you will join the iCloud Data organization to build and maintain consistent, scalable, and integrated data infrastructure that enables users to access content across various apps and devices. You will engineer efficient pipelines for structured and unstructured data while evolving rich datasets to power diverse use cases. The role involves developing forward-looking solutions that integrate with existing systems and collaborating with cross-functional teams to improve delivery outcomes. To succeed, you must be proficient in Java, Python, or Scala, and possess deep expertise in Data Principles, Architecture, Modeling, and SQL. You will utilize distributed data technologies like Spark, Hadoop, Presto, Flink, and Druid. Additional experience with AWS resources, stream-processing tools like Kafka Streams, and NoSQL datastores such as Cassandra or MongoDB is highly valued to solve complex problems at scale.

What does a Data Engineer earn in California?

Median $199800 from 35 postings across 19 companies.

See salary data

What you'll do

  • Engineer efficient, adaptable, and scalable data pipelines to process structured and unstructured data.
  • Own and evolve rich datasets regarding iCloud products and platform interactions to power diverse use cases.
  • Build forward-looking data solutions that integrate seamlessly with existing systems.
  • Implement cutting-edge technologies to meet specific iCloud infrastructure needs.
  • Develop data frameworks and platforms that improve the quality of business outcomes.
  • Solve complex, loosely defined problems involving high-volume distributed data services.
  • Lead high-level discussions on technology strategy and technical approaches for cross-functional projects.

What we're looking for

  • 8+ years of experience with Spark and other distributed data technologies like Hadoop, Presto, Flink, or Druid.
  • Proficiency in at least one of Java, Python, or Scala.
  • Deep expertise in Data Principles, Data Architecture, Data Modeling, and strong SQL skills.
  • Experience working in a complex, matrixed organization with cross-functional projects.
  • Strong communication and collaboration skills to lead high-level discussions on technology strategy.
  • Conceptual familiarity with AWS cloud resources such as S3, EC2, and RDS.
  • BS or MS in Computer Science, Engineering, Mathematics, Statistics, or a related field (or equivalent experience).
  • Experience with stream-processing, search systems, NoSQL datastores, or high-volume data services (preferred).

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