Apples App Store is the worlds largest and most innovative app marketplace, home to over 2 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? We are seeking for a Senior Data Engineer to join our App Store Data team and play an integral role in helping the App Store to improve the experience for users and developers every day, through analytics solutions grounded in privacy. We build the solutions, services, and mission critical analytics that power data-driven innovation for internal stakeholders and external partners.
As a Senior Data Engineer, you will own the design and delivery of highly reliable, privacy-centric data products, including pipelines, analytical outputs and data services, at the App Store scale. You will architect distributed pipelines, build self-service data platforms, and implement GenAI-driven observability to ensure the highest bar of data quality. You will work closely with Apple Services data analytics, data science, on-device engineering, program, product, privacy and other teams. The ideal candidate combines strong software engineering and data expertise with excellent communication skills, product sensibility and a curiosity about technology. Architect and scale distributed data pipelines using Spark, Flink, Cassandra and Kafka to process high-throughput App Store data. Lead the technical design of privacy-first data models and analytics-ready datasets using Python, Scala, or Java. Engineer robust data observability, monitoring, and automated recovery systems for production environments. Partner with Data Science, Product, and Privacy teams to translate complex business and regulatory requirements into scalable engineering specifications. Champion modern engineering practices, including CI/CD, rigorous testing, and the adoption of AI-augmented development workflows to accelerate delivery. Contribute to large-scale quantitative analysis projects through all phases; this includes requirements gathering, feasibility analysis, data modeling, algorithm/feature development, data quality, statistical analysis, and data visualization Bachelors Degree in Computer Science, Engineering, or a related technical field 7+ years of experience architecting and operating production-grade distributed data systems at large scale Expert programming skills in Scala or Java, proficient in Python and SQL with excellent analytical and problem-solving skills Hands-on experience in modern big data technologies such as: Spark/Flink, Kafka, Airflow, Iceberg, Trino, Cassandra and Kubernetes Strong foundational knowledge of data modeling and data warehouse design Excellent communication skills with a proven track record of leading cross-functional technical initiativesDomain expertise in online advertising measurement, including attribution modeling, incrementality testing, conversion measurement, or campaign optimization Hands-on experience with privacy-enhancing technologies (e.g., differential privacy, federated learning, secure multi-party computation, or on-device intelligence) Experience building LLM-driven or agentic workflows for automated data operations, such as anomaly detection, pipeline self-healing, or data quality enforcement
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.