Senior Data Engineer

Apple is hiring a Senior Data Engineer in its cybersecurity software engineering organization in San Francisco, CA (onsite).

Responsibilities

• Collaborate with a cybersecurity software engineering team focused on Apache Spark capabilities and industry-leading data processing.
• Support and develop services that underpin mission-critical information security capabilities.
• Partner with engineering and cross-team stakeholders to design, build, and deliver product objectives.
• Build and optimize data-intensive systems using cutting-edge technologies.
• Design and optimize data models to address complex data challenges.
• Work with cross-functional teams to solve production-grade data problems end to end.

Requirements

• 4 years+ demonstrated expertise designing and implementing relational and medallion data architectures.
• 4 years+ demonstrated expertise designing and implementing production data pipelines at scale.
• 4 years+ demonstrated proficiency with JVM languages (Scala or Java preferred) plus at least one of: Spark, Golang, or Swift.

Technologies

• Apache Spark
• JVM languages; Scala; Java
• Golang; Swift
• OpenStack; AWS; Azure
• ML/AI workflows; feature engineering
• Semantic models; knowledge graphs
• Data quality frameworks; data governance

Benefits

• Comprehensive medical and dental coverage
• Retirement benefits
• Discounted products and free services
• Reimbursement for certain educational expenses, including tuition
• Discretionary bonuses or commission payments and relocation (if eligible)

Preferred Qualifications

• 5+ years experience in data engineering with demonstrated data modeling expertise
• 5+ years experience with JVM languages: Java or Scala
• 5+ years experience with big data platforms
• Familiarity with ML/AI workflows and feature engineering for analytics, reporting, and machine learning use cases
• Knowledge engineering expertise, including semantic models and knowledge graphs
• Experience working with cloud compute environments such as 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

Location: San Francisco, CA (onsite)

Compensation: USD 150,400 - 277,600 per year