This role pays more than
93%
of similar roles. Most pay
$135,675–$219,150
— the shaded band above.
At the midpoint, this role pays about
$255k
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. In this role, you will build and optimize data infrastructure, design complex data models, and develop scalable solutions to improve the automation and reliability of core iCloud data workflows. You will focus on surfacing patterns across storage, subscription, engagement, and commerce data to ensure accurate reporting for stakeholders. The position requires advanced proficiency in SQL and Python, along with experience using distributed computing frameworks like Spark. Candidates must demonstrate expertise in pipeline development, aggregation strategies, and data governance. This role addresses the technical challenge of structuring and governing large-scale datasets to provide reliable insights into e-commerce and media streaming behaviors while ensuring high-quality data delivery across the analytical ecosystem.
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.
Design complex data models to ensure reliable, high-quality data for business decisions.
Translate stakeholder requirements into scalable technical solutions for automated data workflows.
Develop systems to identify patterns across storage, subscription, engagement, and commerce data.
Ensure consistent and accurate reporting across the organization's analytical platforms.
Improve the structure, governance, and efficiency of the overall 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 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.
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).