Software Data Engineer, App Store

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. Minimum Qualifications 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). Preferred Qualifications 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.