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Security Content Engineer (Data Engineering)

3-4 Years
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Job Description

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

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About Company

Securonix is transforming how security operations are delivered, measured, and scaled. Our Unified Defense SIEM combines SIEM, UEBA, SOAR, TIP, and TDIR in a single cloud-native platform that helps security teams detect threats faster, investigate with context, and respond with precision. No more silos. No more guesswork.

We do more than unify the SOC. We improve its economics. With outcome-based pricing, modular automation, and full control over data pipelines, customers reduce storage and compute costs by up to 50 percent. Analyst efficiency improves by 50 percent, and response times are reduced by as much as 60 percent.

At the core is Agentic AI, a modular set of intelligent agents that automate triage, threat hunting, investigation, and response. These agents deliver explainable, policy-aligned decisions that reduce manual workload and accelerate action.

Built natively on Snowflake and AWS, Securonix provides elastic performance and long-term scalability. Our Data Pipeline Manager gives security teams complete control over how telemetry is collected, routed, and stored, optimizing cost while preserving visibility and compliance.

Securonix is proud to be recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for SIEM for the fifth consecutive year, and as a Gartner Peer Insights™ Customers’ Choice. Global enterprises trust us to modernize their SOC, reduce risk, and deliver outcomes that matter.

Modular by design and open by architecture, Securonix gives teams the flexibility to start with what matters most and scale as they grow.

Job ID: 129492069

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