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Security Data Engineer

Security EngineerSecurity EngineerFull TimeRemoteSeniorTeam 10,001+Since 1993H1B SponsorCompany SiteLinkedIn

Location

California + 1 moreAll locations: California | New York

Posted

60 days ago

Salary

$136K - $224.3K / year

Seniority

Senior

Bachelor Degree5 yrs expEnglishCloudCyber SecurityKafkaSpark

Job Description

Security Data Engineer

NVIDIA

• Design and operate telemetry ingestion pipelines that collect and process data from endpoint, identity, network, cloud, and other enterprise security sources. • Normalize and enrich telemetry into structured datasets using standardized schemas and entity models so signals from different systems can be correlated consistently. • Build and maintain data models and graph ready structures that connect users, devices, identities, and activity across the security ecosystem. • Provide governed access to security datasets through APIs, query interfaces, and streaming pipelines used by Detection, Automation, AI, and Analytics teams. • Define lifecycle and retention strategies across hot, cold, and archive storage tiers to balance performance, scalability, and cost. • Work closely with enterprise data engineering and security engineering teams to align on architecture, data fabric strategy, and shared platform capabilities. • Maintain clear documentation of data sources, schemas, and entity definitions so teams across NVIDIA can reliably build on the platform.

Job Requirements

  • Bachelor’s degree in Computer Science, Engineering, Cybersecurity, Data Engineering, or a related technical field, or equivalent experience.
  • 5+ years of experience designing and operating large scale data pipelines in a security or enterprise data environment.
  • Strong understanding of security telemetry including endpoint, identity, network, cloud, and email data sources.
  • Experience working with modern data platforms and ingestion technologies such as Databricks, Snowflake, Kafka, Spark, Flink, or similar systems.
  • Hands on experience with data normalization frameworks or standards such as OCSF, ECS, or equivalent approaches.
  • Understanding of data access patterns including APIs, query layers, views, and role based access control.
  • Ability to collaborate across teams and clearly document complex data systems for a broad technical audience.

Benefits

  • Equity
  • Comprehensive benefits package

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