Data Engineer

Apple • Sunnyvale, CA

13d

About The Position

Apple is seeking an extraordinary individual to work on a team supporting and developing services which underpin mission critical information security capabilities. Spark expertise is a prerequisite. While previous experience in information security is not required, a sincere drive for security and privacy is required. This role will work closely with our engineering teams and with partner teams to ensure the successful design, development, and delivery of product objectives. The successful candidate will have a passion for technical excellence and team collaboration with a heavy focus on using cutting-edge technologies to build data intensive systems, designing and optimizing data models, and collaborating with cross-functional teams to solve complex data challenges. This role will work closely with our engineering teams and with partner teams to ensure the successful design, development, and delivery of product objectives. The successful candidate will have a passion for technical excellence and team collaboration with a heavy focus on automation, scalability, and reliability for all layers of the stack. This role will work closely with developers and users of our platforms to ensure the successful design, development, and delivery of product objectives.

Requirements

• 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

Nice To Haves

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees