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

Apple Inc

Cupertino, CA

JOB DETAILS
SKILLS
Analysis Skills, Apple, Automation, Building Systems, Business Intelligence, Communication Skills, Computer Science, Computer Skills, Customer Experience, Customer Support/Service, Data Analysis, Data Management, Data Modeling, Data Quality, Data Science, Data Sets, Data Structures, Distributed Computing, Economics, Ecosystems, Internet Application, Legal, Marketing, Mathematics, Metadata, Multitasking, Presentation/Verbal Skills, Problem Solving Skills, Process Improvement, Product Design, Python Programming/Scripting Language, Quality Management, Regulations, Risk Analysis, SQL (Structured Query Language), Software Engineering, Statistics, Streaming Technology, Systems Engineering, Technical/Engineering Design, Time Management, Writing Skills, eCommerce
LOCATION
Cupertino, CA
POSTED
30+ days ago

Are you ready to make a significant impact at the intersection of data engineering and App Store 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. 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.As a Data Engineer on the Services Data Science & Analytics App Insights Engineering team, you will work with massive internet-scale App Store data across numerous product and customer touchpoints. You will heavily contribute to and maintain the data infrastructure that powers App Store 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 App Store data workflows. Your work will involve building systems that surface patterns across app transactional, subscription, engagement, and commerce data - ensuring consistent, accurate reporting across the organization. Over time, you will help shape how App Store data is structured, governed, and delivered, improving the quality, coverage, and efficiency of our analytical data ecosystem.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 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 fieldExperience in a fast-paced technology company, digital subscription business, or large-scale App Store or e-commerce platform, navigating complex data ecosystems Advanced proficiency with Python or similar languages, and experience with distributed computing frameworks (e.g., Spark) for complex data manipulation and analytics 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

About the Company

A

Apple Inc

We bring amazing people together to make amazing things happen.

We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.

About Apple

There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Computer/IT Services
FOUNDED
1976
WEBSITE
https://www.apple.com/jobs