Senior Data Engineer, iCloud Insights Engineering

Apple Inc

Confirmed live yesterday High trust

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Work type
On-site
Location
Austin, TX
Posted
3 days ago
Freshness
Confirmed live yesterday

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How this pay compares to similar roles

Similar $178k
$125k most similar roles pay here $236k

This listing doesn't post a salary. Most similar roles pay $135,675–$220,300.

Based on 240 similar postings.

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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 2181 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1785 roles with salary data.

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At a glance

TL;DR · Senior Data Engineer, iCloud Insights Engineering

As a Sr. Data Engineer, iCloud Insights Engineering, you will join the Services Data Science & Analytics team to manage massive internet-scale iCloud data across various product and customer touchpoints. You will be responsible for building and optimizing data pipelines, designing complex data models, and ensuring high-quality data availability for stakeholders. Your daily work involves creating systems that surface patterns in storage, subscription, engagement, and commerce data while improving the automation of core workflows. To succeed, you must possess advanced proficiency in SQL and Python, along with experience using distributed computing frameworks like Spark. You will also apply expertise in data model design and aggregation strategies to improve the analytical ecosystem. This role addresses the technical challenge of structuring and governing large-scale datasets to provide reliable reporting for e-commerce and media streaming services.

What does a Data Engineer earn?

Median $164500 from 206 postings across 57 companies.

See salary data

What you'll do

  • Build and optimize data pipelines to process massive internet-scale iCloud data.
  • Design complex data models to ensure reliable, high-quality data for business decisions.
  • Translate stakeholder requirements into scalable technical solutions for core data workflows.
  • Automate and improve the reliability of internal data processing systems.
  • Develop systems to surface patterns across storage, subscription, engagement, and commerce data.
  • Ensure consistent and accurate reporting across various organizational departments.
  • Shape how iCloud data is structured, governed, and delivered within the analytical ecosystem.

What we're looking for

  • 5+ years of experience in data engineering or business intelligence roles building and maintaining complex data pipelines and models at scale.
  • Strong proficiency with SQL for querying, manipulating, and analyzing internet-scale data structures and very large datasets.
  • Advanced proficiency with Python or similar languages and experience with distributed computing frameworks like Spark.
  • Demonstrated experience with data engineering tools, pipeline development, data model design, and aggregation strategies for analytics and reporting.
  • Exceptional written and verbal communication skills to translate complex data concepts for diverse stakeholders.
  • BS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field.
  • Experience in a fast-paced technology company, digital subscription business, or e-commerce platform (preferred).
  • Familiarity with data governance, data quality frameworks, or metadata management concepts (preferred); MS degree in a related field (preferred).

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