Senior 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 lead 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 7+ years of experience building production grade distributed data pipeline and data systems Strong programming skills in Scala or Java, proficient in Python and SQL with excellent analytical and problem-solving skills Hands-on experience in big data technologies such as: Hadoop, Spark/Flink, Kafka, Airflow, Iceberg, Trino and Kubernetes Proficiency in data modeling fundamentals, structured and unstructured data analysis, predictive modeling techniques to identify patterns, translate domain requirements into engineering specifications Active daily use of AI coding assistants, comfortable with 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 Ability to capture cross-functional requirements and translate them into practical data analysis solutions that drive key product decisions Experience with ML-based or statistical anomaly detection with exposure to agentic workflow frameworks applied to pipeline generation or monitoring Experience with data visualization and reporting tools such as Superset, Tableau Experience with Regulatory and Compliance engineering with GDPR operational requirements, data minimization, DMA, DSA obligations and Privacy-first data architecture at a technical level Experience working with privacy, legal and regulatory stakeholders in an engineering capacity