Drimva

Apple

Lead iCloud Insights Engineer, Services Data Science & Analytics

$167K–$312K

Austin, Texas +2 · Full-time · Posted Sep 1, 2026

Location
Austin, Texas
Culver City, California
Cupertino, California
Experience
8+ years; experience in Data Visualization, Data/Analytics Engineering, Data Science, or Software Engineering, with demonstrated progression into more senior or technical-lead scope.
Education
BS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field.

About the job

Leads the strategy and development of AI-assisted, full-stack data applications and insights products that help Apple teams understand iCloud performance and make business decisions.

What you'll do

  • Build AI-assisted web applications, executive reporting tools, and self-service data products that turn large-scale data into actionable insights.
  • Partner with Data Science and business teams to define metrics, design datasets, and develop AI-driven automation and pipelines.
  • Set technical direction, mentor engineers, and lead cross-functional projects from architecture through delivery.

What they ask for

  • 8+ years in Data Visualization, Data/Analytics Engineering, Data Science, or Software Engineering, with progression into senior or technical-lead scope.
  • Hands-on experience building and deploying custom web applications and integrating AI/LLM capabilities into applications or workflows.
  • Strong SQL skills and experience designing data models and pipelines for responsive, interactive applications.
  • BS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field.

Nice to have

  • Experience with digital subscriptions, large-scale e-commerce, or media streaming platforms.
  • Strong Python skills, AI/ML libraries, and Spark for large-scale data processing.

Pay

$175,500 to $311,700 USD base salary; $166,600 to $296,000 USD base salary

Tools

React, Streamlit, Flask, Django, Next.js, SQL, Python, Spark

AI focus

Build AI-assisted applications and pipelines, including natural language querying, automated insight generation, intelligent summarization, and agentic workflows.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)