Data Engineer, App Insights Engineering, Services Data Science & Analytics

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$212,000–$318,400 / yr
Posted
56 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $169k
This role $265k
$104k most similar roles pay here $341k

This role pays more than 95% of similar roles. Most pay $126,800–$211,200 — the shaded band above. At the midpoint, this role pays about $265k versus about $169k 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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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View all roles at Apple Inc

At a glance

TL;DR · Data Engineer, App Insights Engineering, Services Data Science & Analytics

As a Data Engineer on the Services Data Science & Analytics App Insights Engineering team at Apple, you will work with massive internet-scale data from the App Store, contributing to and maintaining robust data infrastructure that powers insights for both internal teams and stakeholders. Your day-to-day involves building and optimizing pipelines, designing data models, and ensuring reliable, high-quality data for business decisions. You will collaborate closely with peers in insights engineering and data science to translate requirements into scalable solutions, improving automation and reliability of core workflows. Key responsibilities include surfacing patterns across app transactional, subscription, engagement, and commerce data, ensuring consistent reporting. The role requires strong proficiency in SQL, experience with data engineering tools like pipeline development and distributed computing frameworks such as Spark, and exceptional communication skills to translate complex concepts for diverse audiences.

What you'll do

  • Design and optimize large-scale data pipelines for App Store insights.
  • Build and maintain complex data models to support business decisions.
  • Collaborate with peers to translate requirements into scalable data solutions.
  • Ensure consistent, accurate reporting across app transactional and engagement data.
  • Improve the automation and reliability of core App Store data workflows.

What we're looking for

  • 5+ years of experience in data engineering or business intelligence roles
  • Expertise in building and maintaining complex data pipelines and models at scale
  • Strong proficiency with SQL for querying large datasets
  • Experience with data engineering tools like pipeline development and aggregation strategies
  • Excellent communication skills to translate complex data concepts for diverse stakeholders
  • BS degree in Computer Science, Statistics, Mathematics, or related field
  • Advanced proficiency with Python and distributed computing frameworks (e.g., Spark)

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