Security Content Engineer (Data Engineering)

Role Summary:

The Data Engineer will design, develop, and optimize data pipelines to support Securonix's next-generation SIEM platform and UEBA use cases. The role involves parser and connector development, data validation, content validation for out-of-the-box use cases, dashboard/report creation, and collaboration with product, engineering, and threat lab teams. The candidate will optimize and maintain scalable data architectures while automating processes and supporting cross-functional teams.

Key Responsibilities:

• Develop and implement parsers and connectors for various data sources
• Validate data quality and content for out-of-the-box use cases and threat models
• Design, implement, and optimize dashboards, reports, and data pipelines
• Coordinate with product management and engineering for troubleshooting and integration issues
• Streamline data parsing, use case configurations, and internal processes for scalability
• Support analytics and data science teams with data tools and infrastructure needs

Minimum Requirements:

• 3+ years of hands-on experience in data engineering and SIEM solution deployment
• Strong experience in parser creation and regex implementation
• Working knowledge of SQL and relational databases
• Experience with version control tools such as Git or SVN
• Proficiency in Python, Java, or Bash scripting
• Experience building and optimizing big data architectures and pipelines