Senior Data Engineer

Apple; San Francisco (CA); On-site; USD 150,000 - 278,000; Full time

Benefits offered by this job

Medical and dental coverage

Retirement benefits

Discounted products and services

Educational expense reimbursement

Relocation assistance

Job summary

Apple is hiring a Senior Data Engineer in San Francisco, CA (onsite) to design and deliver data-intensive systems for cybersecurity. You will collaborate to advance Spark capabilities, build production-grade pipelines, and work with cross-functional teams to meet product objectives.

Ideal candidates have 5+ years in data engineering, strong data modeling, and experience with JVM languages (Scala/Java), Spark, and cloud platforms like OpenStack, AWS, and Azure. Relocation may be considered.

Qualifications

• 5+ years in data engineering with data modeling expertise.
• 5+ years with JVM languages Java/Scala and big data platforms.
• Experience designing production data pipelines at scale.

Responsibilities

• Collaborate to advance Spark capabilities and data problems.
• Support and develop services for mission-critical info security.
• Design, develop, and deliver data-intensive systems.
• Partner with cross-functional teams on product objectives.

Skills

Data modeling

Production data pipelines

Relational architectures

Medallion architectures

JVM languages (Scala/Java)

Apache Spark

Golang

Swift

Tools

OpenStack

AWS

Azure

Job description

Apple is hiring a Senior Data Engineer to join a cybersecurity software engineering team in San Francisco, CA (onsite). In this role, you will design, develop, and deliver data-intensive systems that support mission-critical information security capabilities, with a strong focus on data modeling and production-grade pipelines.

What you’ll do

• Collaborate within a cybersecurity software engineering team that advances Apache Spark capabilities and applies new approaches to complex data problems.
• Support and develop services that underpin mission-critical information security capabilities.
• Work closely with engineering and partner teams to help design, develop, and deliver product objectives.
• Build and optimize data-intensive systems using cutting-edge technologies, including designing and improving data models and partnering with cross-functional teams.

What you bring

• 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 experience with Spark and/or Golang or Swift.

Technologies you may work with

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

Additional qualifications

• 5+ years experience in data engineering with demonstrated expertise in data modeling.
• 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 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.

Compensation

USD 150,400 - 277,600 per year.

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)