Staff Data Engineer – Security Data Platform Lead

Socket.dev

Austin (TX)

On-site

USD 180,000 - 240,000

Full time

7 days ago
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Job summary

Apple is seeking a Staff Data Engineer to lead the data engineering and architecture behind a security data platform initiative. You will own the data model and the pipeline contracts used by multiple teams, moving pipelines from prototype into production to support a critical security program.

The role requires deep distributed data engineering experience, data judgment, and the ability to set technical direction across a large, matrixed engineering organization.

Qualifications

  • 15+ years of experience with Spark and distributed data technologies for large scale data pipelines.
  • Proficient in at least one of Java, Python or Scala.
  • Deep expertise in data principles, architecture & modeling; strong SQL skills.
  • Able to tackle loosely defined problems with meticulous attention to detail.
  • Experience navigating a complex, matrixed organization with cross-functional projects.
  • Strong communication and collaboration skills; capable of leading tech strategy discussions.
  • Familiarity with AWS cloud resources (S3, EC2, RDS).
  • Understanding of OSI model and network basics; awareness of containers and applications.

Responsibilities

  • Lead the data engineering and architecture behind a security data platform initiative.
  • Own the data model and pipeline contracts used by multiple teams.
  • Move pipelines from prototype to production with reliability and governance.
  • Enable ownership attribution and risk enrichment as a service across teams.

Skills

Spark
Java/Python/Scala
Data modeling
SQL
Data architecture
Communication
Cross-functional leadership

Tools

Hadoop
Presto
Flink
Druid
Kafka
Elasticsearch
Cassandra
MongoDB
Storm

Job description

Apple is seeking a Staff Data Engineer to lead the data engineering and architecture behind a security data platform initiative. You will own the data model and the pipeline contracts used by multiple teams, moving pipelines from prototype into production to support a critical security program.

The role requires deep distributed data engineering experience, data judgment, and the ability to set technical direction across a large, matrixed engineering organization.

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