Senior Data Engineer, iCloud

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$175,000–$308,500 / 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 $242k
$112k most similar roles pay here $330k

This role pays more than 82% of similar roles. Most pay $132,670–$225,462 — the shaded band above. At the midpoint, this role pays about $242k 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

The Sr. Data Engineer, iCloud joins the iCloud Data organization to build consistent, scalable, and integrated data infrastructure that enables users to access content across various apps and devices. In this role, you will engineer efficient pipelines to process structured and unstructured data while evolving rich datasets to power diverse use cases. You will develop forward-looking solutions that interface with existing systems and partner with cross-functional teams to improve delivery outcomes. The role requires expertise in Spark, Hadoop, Presto, Flink, or Druid for large-scale processing, along with proficiency in Java, Python, or Scala. Candidates should possess strong SQL skills, data modeling knowledge, and familiarity with AWS resources like S3, EC2, and RDS. Experience with stream-processing tools, NoSQL datastores such as Cassandra or MongoDB, and search systems like ElasticSearch is also preferred.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 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 on 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 approach for cross-functional projects.

What we're looking for

  • 8+ years of experience working 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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