Sr. Cribl Engineer/Security Data Eng

Tasks

• Develop, implement, and maintain data processing pipelines within Cribl LogStream.
• Configure and optimize data routing, transformation, enrichment, filtering, normalization, and data quality processes.
• Develop and support integrations between Cribl, AWS, SIEM platforms, security analytics tools, and enterprise security lake data platforms.
• Build, troubleshoot, and optimize automated data ingestion and onboarding workflows.
• Onboard and validate security telemetry for SIEM, detection engineering, threat hunting, incident response, and security analytics use cases.
• Collaborate with Security Operations, Detection Engineering, Data Engineering, Infrastructure, and Analytics teams to deliver reliable, scalable, and high-quality data solutions.
• Monitor pipeline performance, resolve issues, and implement continuous improvements.
• Document pipeline configurations, operational procedures, and data flows.
• Develop, create, and maintain Snowflake database objects including databases, schemas, tables, views, streams, tasks, stored procedures, and secure data-sharing configurations.

Requirements

• 8+ years of experience with Cribl LogStream administration, configuration, and pipeline development.
• 6+ years of hands-on experience with Snowflake administration, architecture, and data engineering in large-scale enterprise environments.
• Experience designing and supporting large-scale security data ingestion, transformation, and processing pipelines utilizing platforms such as Snowflake and Databricks.
• Experience with scripting languages (e.g., Python, JavaScript) for pipeline automation.
• Experience onboarding and managing enterprise security data within SIEM, security data lake, or security analytics environments.

Schedule

• Longterm contract
• Onsite

How to apply

• Share your resume by email.

Location

• Irvine, CA