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Senior Software Data Infrastructure Engineer

2 months ago

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

We are seeking a highly skilled and experienced Senior Software Data Infrastructure Engineer to join our Data and Machine Learning Innovation organization at Apple. As a key member of our team, you will play a critical role in building and implementing a robust data processing framework to streamline log data pipelines.

Key Responsibilities
  • Design and develop a unified data processing framework on device and server using Spark and/or Flink.
  • Collaborate closely with other teams to transform raw data from device into useful datasets for Machine Learning.
  • Optimize performance, ensure data quality, and contribute to a long-term vision that extends the framework's capabilities to new user scenarios and groundbreaking machine learning applications.
  • Stay up-to-date with the latest advancements in big data processing and distributed systems.
Requirements
  • Expertise in large-scale data processing, with a track record of working with Spark and/or Flink, and device data processing.
  • Understanding of distributed computing principles and data engineering standard methodologies.
  • Proven programming skills in Python, Java, iOS development, and Swift (Scala is desired).
  • A genuine passion for working with data and solving sophisticated problems at scale.
  • Experience with Machine Learning or data mining is desired.
What We Offer
  • Competitive base pay, with a range of $175,800 to $312,200, depending on skills, qualifications, experience, and location.
  • Opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs.
  • Comprehensive medical and dental coverage, retirement benefits, and a range of discounted products and free services.
  • Reimbursement for certain educational expenses related to advancing your career at Apple.