Data Engineer

Spark expertise is a prerequisite. Minimum Qualifications Demonstrated expertise in designing and implementing relational and medallion data architectures Demonstrated expertise in the design and implementation of production data pipelines at scale Demonstrated proficiency with JVM languages (Scala or Java preferred), Golang, or Swift Preferred Qualifications 5+ years experience in data engineering and demonstrated expertise with data modeling 5+ years of experience with JVM languages: Java or Scala 5+ years experience with big data platforms Familiarity with ML/AI workflows and feature engineering to support analytics, reporting, and machine learning use cases Knowledge engineering expertise including semantic models and knowledge graphs Experience working with cloud compute environments like OpenStack, AWS, and Azure Experience mentoring engineers, conducting code reviews, and contributing to technical best practices and documentation Knowledge of data quality frameworks and validation techniques Knowledge of data governance and compliance frameworks Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined wit...