Cybersecurity Data Engineer

📋 Description

• Design scalable data ingestion pipelines: Develop and implement robust architectures for
• Manage security telemetry flows: Build and optimize data flows that support enterprise
• Configure data routing and ingestion tools: Use platforms such as Cribl, Vector, or comparable
• Develop reusable ingestion frameworks: Create standardized patterns, templates, and frameworks that
• Build modular data architectures: Design maintainable, scalable, and adaptable data flow solutions
• Leverage open-source technologies: Evaluate and implement open-source and platform-agnostic tools

🎯 Requirements

• Practical experience engineering data flows or pipelines for security telemetry or comparable
• Demonstrated ability to design, implement, and maintain scalable data ingestion pipelines and
• Experience using Cribl, Vector, or similar data routing, ingestion, and processing platforms.
• Ability to develop reusable ingestion patterns, frameworks, templates, and standardized pipeline
• Familiarity with open-source data technologies and platform-agnostic tooling for data routing
• Strong understanding of modular data architecture principles, including scalability

🎁 Benefits

• Competitive hourly compensation: Indicative contract rate of $40–$50 per hour, depending on
• Remote work flexibility: Work remotely from within the United States, offering greater flexibility
• Contract engagement: An opportunity to contribute specialized engineering expertise to
• Hands-on technical experience: Work with security telemetry, scalable ingestion architectures
• Exposure to industry tools: Apply and expand your knowledge of Cribl, Vector, and other open-source
• Reusable engineering solutions: Develop frameworks and modular architectures that can support