Data Infrastructure Engineer

3 days ago


Cupertino, California, United States Apple Full time
About the Role

We are seeking a highly skilled Data Infrastructure Engineer to join our AI and Machine Learning team at Apple. As a key member of our team, you will play a pivotal role in designing and implementing a robust data processing framework to streamline log data pipelines and build a flexible data insights infrastructure.

Key Responsibilities
  • Design and implement a unified data processing framework to process massive datasets
  • Collaborate with cross-functional teams to build a metrics platform that fuels innovative features and future machine learning applications
  • Partner with data scientists and analysts to transform data into actionable insights
  • Optimize performance, ensure data quality, and contribute to a long-term vision that extends the existing framework's capabilities
Requirements
  • Demonstrated expertise in large-scale data processing with a strong background in Spark and Python or Scala
  • Understanding of distributed computing principles, data engineering, and DevOps standard processes
  • Proven programming skills in Python and Scala
  • Genuine passion for working with data and solving complex problems at scale in cloud platforms (AWS, GCP)
  • Experience with machine learning data in Computer Science or Data Science
Preferred Qualifications
  • Metrics infrastructure experience, including metrics sharing, management, and version control
  • PhD or MS in Computer Science
About Apple

Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.



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