Apple's App Store is the world's largest and most innovative app marketplace, home to over 1.5 million apps and serving more than half a billion customers every week across all Apple devices. Since the App Store launched in 2008, it has changed how we all live: enabling countless new companies, spawning new industries, and building millions of jobs. We believe we are just getting started.
Do you have a strong passion for using data to drive business decisions, generate ideas, and inspire collaborators? As a Software Data Engineer on the App Store Data team, you will play an integral role in helping App Store improve the experience for users and developers every day, through analysis grounded in privacy. We build the solutions, services, and analytics that power data-driven innovation for internal stakeholders and external partners. In a world where apps have become essential to daily life, the App Store team has become essential to Apple's business.
As a member of the App Store Data team, you will play a key role in shaping our strategic direction and driving high-impact initiatives. The data we produce informs Apple Leadership and partners, helping guide decisions on innovation and emerging opportunities. Success in this role requires a strong commitment to building world-class analytical solutions.
You will build the design and delivery of compliance-critical data products, including pipelines and analytical outputs that meet regulatory and privacy requirements. This role also encompasses analytics engineering, exploratory data analysis, ML-driven data observability and developing scalable self-service data products.
Design and build scalable data pipelines with CI/CD ensuring reliability with unit/integration tests
Develop data architectures using distributed systems (e.g., Spark, Kafka) and optimize for high-throughput processing
Implement monitoring, observability, and automated recovery for data systems in production
Clean, transform, and model large scale data into analytics-ready datasets using Python, Scala or Java
Contribute to large-scale quantitative analysis projects through all phases; this includes data quality, data modeling, algorithm/feature development, statistical analysis, and data visualization
Collaborate with stakeholders from Engineering, Product, Legal, Privacy, and Governance to translate requirements into precise data model specifications and data analytics product
Use AI coding assistants for architecture exploration, pipeline generation, test coverage, and documentation as standard practice. Treat AI-generated code with the same review rigor as human-authored code
3+ years of experience building production data pipelines on distributed systems
Solid programming skills in Scala or Java or Python and proficiency in SQL
Hands-on experience in big data technologies, such as: Hadoop, Spark/Flink, Kafka, Airflow, Iceberg, Trino and Kubernetes
Working knowledge of data modeling fundamentals, structured and unstructured data analysis, predictive modeling techniques to identify patterns, translating domain requirements into engineering specifications
Active use of AI coding assistant, actively learning LLM-augmented workflows
Excellent communication; proven success partnering with cross‑functional stakeholders (Product, Engineering, Legal, Privacy etc.)
Bachelor's Degree in Computer Science, Engineering or a Quantitative discipline (e.g., Statistics, Economics, Mathematics).
Exposure to privacy, compliance, or governance data requirements in a pipeline or analytics context
Exposure to ML or statistical anomaly detection, even in a learning or project context
Experience in writing and maintaining high-quality code using standard methodologies such as code reviews, unit testing, and continuous integration.
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.
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.