Cribl Data Engineer, Cybersecurity and SIEM

Key Responsibilities

• Design, build, maintain, and optimize cybersecurity data pipelines using Cribl.
• Manage security data flows from source systems through Cribl into data lakes and SIEM platforms.
• Develop and maintain connectors and integrations for security data ingestion.
• Configure data routing, parsing, filtering, enrichment, and transformation.
• Support SIEM architecture, engineering, and ongoing platform operations.
• Integrate security data with platforms such as Databricks and Snowflake.
• Troubleshoot complex data ingestion, integration, performance, and pipeline issues.
• Develop scripts and automation to support data processing and pipeline management.
• Ensure the accuracy, security, integrity, and availability of cybersecurity data.
• Partner with cybersecurity, engineering, and data teams to understand requirements and recommend appropriate solutions.
• Evaluate multiple technical approaches and independently determine the best way to solve a problem.
• Clearly explain technical decisions, designs, and troubleshooting findings during team meetings and leadership discussions.
• Create and maintain technical documentation for data pipelines, integrations, and platform configurations.
• Share knowledge and help establish scalable engineering practices within the team.