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Sr. Data Engineer, iCloud Insights Engineering

Apple· Software and Services
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Hybrid (Austin; Culver City; Cupertino)full-timePosted 3w ago

About the role

Senior data engineering role within Apple’s Services Data Science & Analytics team focused on iCloud insights. Build and optimize large-scale data pipelines, design data models, and deliver reliable, high-quality data to enable data-driven decisions across iCloud storage, subscription, engagement, and commerce data while maintaining governance and partnering with insights engineering and data science teams.

Responsibilities

  • Work with massive internet-scale iCloud data across numerous product and customer touchpoints.
  • Build and optimize data pipelines, design data models, and ensure reliable, high-quality data for DS&A and stakeholder teams.
  • Collaborate across product, design, engineering, marketing, editorial, legal, and business teams to translate requirements into scalable data solutions.
  • Partner with insights engineering and data science peers to improve automation and reliability of core iCloud data workflows.
  • Surface patterns across iCloud storage, subscription, engagement, and commerce data to ensure consistent, accurate reporting.
  • Shape how iCloud data is structured, governed, and delivered to improve quality, coverage, and efficiency of the analytical data ecosystem.

Qualifications

  • 5+ years of experience in data engineering or business intelligence roles, with expertise in building and maintaining complex data pipelines and data models at scale
  • Strong proficiency with SQL and experience 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 (e.g., Spark) for complex data manipulation and analytics
  • Demonstrated experience with data engineering tools and concepts, including pipeline development, data model design, and aggregation strategies in support of analytics and reporting
  • Exceptional written and verbal communication skills, with ability to translate complex data concepts for diverse audiences including product, business, and engineering stakeholders
  • Strong time management skills with the ability to balance multiple projects with competing priorities
  • 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, navigating complex data ecosystems
  • Familiarity with data governance, data quality frameworks, or metadata management concepts
  • MS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field

Skills

Required:SQLPythonDistributed computing (e.g., Spark)Data modelingCommunicationProject managementEducation
Nice to have:Data governance / data quality / metadata management
Last updated Oct 23, 2026. Interested? Apply on the company site.

About Apple

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