Senior Data Engineer

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. Minimum Qualifications Bachelor's 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 initiatives Preferred Qualifications Domain 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