Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and theres no telling what you could accomplish. The Product Marketing Customer Analytics team is seeking a engineer to support customer analytics with advanced, scalable and robust architecture, tools, data products, and critical data pipelines that are optimized for rapid business intelligence, data analysis, and data science.
Develop and automate large scale, high-performance, scalable platform (batch and/or streaming) to drive faster analytics Ability to design large-scale, complex applications and frameworks with excellent run-time characteristics such as low-latency, fault-tolerance and availability Experience in building and maintaining custom frameworks to support engineering/analytics needs Knowledge of continuous integration, testing methodologies, TDD and agile development methodologies. Partner with analytic consumers and data scientists to build and improve new/existing constructs and solve data engineering problems at scale. Experience in building data pipelines in Spark, Trino, lakehouse or similar distributed platforms & Snowflake. Deploy inclusive data quality checks to ensure high quality of data. Evangelize high quality software engineering practices towards building data infrastructure and pipelines at scale. Structured thinking with ability to easily break down ambiguous problems and propose impactful solutions. Applying Generative AI and Retrieval Augmented Generation (RAG) techniques to enhance data analytics capabilities Communication Strong documentation and technical writing skills. Attention to detail and effective verbal/written communication skills. 3+ years of relevant Engineering experience Undergraduate degree in Computer Science, MIS, Engineering, Mathematics or other quantitative discipline required. 3+ years of experience in data engineering and ETL pipeline development 2+ years of experience in Big Data Technologies (Spark,Lakehouse,Trino) Experience on Kubernetes, Docker preferred. Familiarity with Retrieval Augmented Generation (RAG) techniques working in conjunction with LLMs Experience with creating and consuming Model Context Protocol (MCP) services Snowflake knowledge
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.