This role pays more than
84%
of similar roles. Most pay
$135,675–$219,150
— the shaded band above.
At the midpoint, this role pays about
$242k
versus about
$177k
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
2181 open roles
on FindRole.
Listed pay typically runs
$175,000–$277,600
across 1785 roles with salary data.
Sr. Data Engineer, iCloud Insights Engineering joins the Services Data Science & Analytics team to manage massive internet-scale data across various product and customer touchpoints. The role involves building and maintaining data infrastructure, designing complex data models, and optimizing pipelines to provide reliable, high-quality data for business decisions. You will collaborate with insights engineering and data science peers to translate requirements into scalable solutions that surface patterns in iCloud storage, subscription, engagement, and commerce data. Key responsibilities include improving the automation of core workflows and enhancing the quality and governance of the analytical ecosystem. Required skills include proficiency in SQL for querying large datasets, advanced Python or similar languages, and experience with distributed computing frameworks like Spark. The role focuses on solving complex problems within e-commerce and media streaming environments while ensuring accurate reporting across the organization.
What does a Data Engineer earn in California?
Median $198912 from 40 postings across 18 companies.
Build and optimize data pipelines to process massive, internet-scale iCloud data across various product touchpoints.
Design complex data models to ensure reliable, high-quality data for business decision-making.
Translate requirements from data science peers into scalable technical solutions for core data workflows.
Improve the automation and reliability of existing iCloud data processing systems.
Develop systems to identify patterns across storage, subscription, engagement, and commerce data.
Ensure consistent and accurate reporting across the organization by maintaining high data quality standards.
Shape the structure, governance, and delivery methods of the analytical data 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 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.
Exceptional written and verbal communication skills to translate complex data concepts for diverse stakeholders.
Strong time management skills to balance multiple projects with competing priorities.
BS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field.
Experience in fast-paced tech, digital subscription, or e-commerce platforms; familiarity with data governance and quality frameworks (preferred); MS degree (preferred).