Sr. Data Engineer, iCloud Insights Engineering

Role Overview

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, we would love for you to apply! The Apple Services Data Science & Analytics organization drives decisions that improve the customer experience, accelerate growth, and uncover new business opportunities while respecting user privacy and adhering to regulatory policy.

Responsibilities

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.

Requirements & Qualifications

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

Compensation & Benefits

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 $184,700 and $324,800, 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.

Application Instructions

Apply directly on Apple Jobs at Sr. Data Engineer, iCloud Insights Engineering↗.

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