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NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the world's most forward-thinking and hardworking people on our team. If you're creative and autonomous, we want to hear from you! Applications for this job will be accepted at least until July 25, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Security Data Engineer
Location
California + 1 moreAll locations: California | New York
Posted
111 days ago
Salary
$136K - $224.3K / year
Seniority
Senior
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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