About The Position

Apple's App Store is the world's 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. 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.

Requirements

  • 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

Nice To Haves

  • 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

Responsibilities

  • Own the design and delivery of highly reliable, privacy-centric data products, including pipelines, analytical outputs and data services, at the App Store scale.
  • Architect distributed pipelines, build self-service data platforms, and implement GenAI-driven observability to ensure the highest bar of data quality.
  • Work closely with Apple Services data analytics, data science, on-device engineering, program, product, privacy and other teams.
  • Lead cross-functional technical initiatives.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service