Sr. Data Engineer, iCloud Insights Engineering

Apple, Inc.; Culver City (CA); On-site; USD 175,000 - 309,000; Full time

Benefits offered by this job

Employee Stock Purchase Plan

Discretionary bonuses

Relocation

Job summary

Apple is seeking a Data Engineer for the Services Data Science & Analytics iCloud Insights Engineering team in Culver City, CA. You will build and optimize data pipelines and models to power iCloud analytics, enabling scalable data-driven decisions across many product touchpoints.

You will collaborate with insights engineering, data science, and product teams to design robust data solutions, improve data quality, and deliver reliable reporting on iCloud usage, subscriptions, engagement, and

Qualifications

• 5+ years of experience in data engineering or BI roles with large-scale data pipelines and data models.
• Strong SQL skills and ability to query and analyze internet-scale datasets.
• Proficient in Python or similar, with experience using distributed computing frameworks like Spark.
• Experience with data engineering concepts, pipeline development, data modeling, and analytics reporting.
• Excellent written and verbal communication, able to translate complex data to diverse stakeholders.
• Effective time management and ability to balance multiple projects.
• BS in Computer Science, Statistics, Mathematics, or related field.

Responsibilities

• Build and maintain massive iCloud data pipelines and models powering insights.
• Design data models and optimize data infrastructure for reliability and quality.
• Collaborate across product, design, engineering, marketing, and legal teams.
• Partner with insights engineering and data science to translate requirements into scalable solutions.
• Surface patterns across iCloud storage, subscription, engagement, and commerce data for reporting.
• Help shape data governance, quality, and delivery of analytics data ecosystem.

Skills

SQL

Python

Spark

Data modeling

Data pipelines

Communication

Education

BS in Computer Science

MS in Computer Science

Tools

Spark

Job description

Culver City, California, United States Software and Services

Are you ready to make a significant impact at the intersection of data engineering and iCloud analytics within Apple? If you are passionate about building robust data pipelines, crafting complex data models, and enabling compelling, data-driven insights at scale.

Description

We work on some of the largest e-commerce and media streaming businesses in the world and have an incredible team collaborating on the best ways to improve these services for our customers! Our culture is built on rapid iteration, open debate, and independent thinking — we take calculated risks and work as analytical advisors across product, design, engineering, marketing, editorial, legal, and business teams.

Responsibilities

• As a Data Engineer on the Services Data Science & Analytics iCloud Insights Engineering team, you will work with massive internet-scale iCloud data across numerous product and customer touchpoints.
• You will heavily contribute to and maintain the data infrastructure that powers iCloud insights — building and optimizing pipelines, designing data models, and ensuring that both DS&A and stakeholder teams have reliable, high-quality data to drive business decisions.
• A great fit for this role communicates and collaborates well across many different teams, has an agile approach to solving challenging problems quickly, and stresses the details.
• You will partner closely with insights engineering and data science peers to understand requirements and translate them into scalable data solutions, improving the automation and reliability of core iCloud data workflows.
• Your work will involve building systems that surface patterns across iCloud storage, subscription, engagement, and commerce data — ensuring consistent, accurate reporting across the organization.
• Over time, you will help shape how iCloud data is structured, governed, and delivered, improving the quality, coverage, and efficiency of our analytical data ecosystem.

Minimum Qualifications

• 5+ years of experience in data engineering or business intelligence roles, with demonstrated expertise building and maintaining complex data pipelines and data models at scale
• Strong proficiency with SQL and proven 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 the 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

Preferred Qualifications

• 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

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,000 and $308,500, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.