Cybersecurity Data Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cybersecurity Data Engineer based in the United States.

We are seeking a technically skilled Cybersecurity Data Engineer to design, build, and optimize data pipelines that support enterprise security operations. In this remote contract role, you will work with complex security telemetry and high-volume data flows to ensure information is ingested, routed, and transformed efficiently. You will develop scalable data ingestion architectures and reusable frameworks that improve consistency, reliability, and operational performance. Using tools such as Cribl, Vector, and other open-source or platform-agnostic technologies, you will help organizations strengthen their security data infrastructure. You will also contribute to modular, maintainable solutions that can adapt to evolving cybersecurity requirements. This opportunity is well suited to a detail-oriented engineer who enjoys solving data engineering challenges in a dynamic, technology-driven environment.

• Design scalable data ingestion pipelines: Develop and implement robust architectures for collecting, processing, routing, and transforming security telemetry and other high-volume data sources.
• Manage security telemetry flows: Build and optimize data flows that support enterprise cybersecurity operations, ensuring data is delivered efficiently and consistently to downstream systems.
• Configure data routing and ingestion tools: Use platforms such as Cribl, Vector, or comparable technologies to manage telemetry routing, data transformation, and pipeline orchestration.
• Develop reusable ingestion frameworks: Create standardized patterns, templates, and frameworks that simplify pipeline implementation, promote consistency, and accelerate future deployments.
• Build modular data architectures: Design maintainable, scalable, and adaptable data flow solutions that support changing data volumes, integration requirements, and security use cases.
• Leverage open-source technologies: Evaluate and implement open-source and platform-agnostic tools to improve flexibility, reduce operational complexity, and support efficient data processing.
• Optimize pipeline performance: Identify bottlenecks, troubleshoot data flow issues, and refine ingestion processes to improve reliability, scalability, and operational efficiency.
• Support enterprise security data operations: Collaborate with relevant technical stakeholders to align data engineering solutions with cybersecurity monitoring needs, infrastructure requirements, and organizational objectives.

Requirements

• Practical experience engineering data flows or pipelines for security telemetry or comparable high-volume data environments.
• Demonstrated ability to design, implement, and maintain scalable data ingestion pipelines and complex data processing workflows.
• Experience using Cribl, Vector, or similar data routing, ingestion, and processing platforms.
• Ability to develop reusable ingestion patterns, frameworks, templates, and standardized pipeline components.
• Familiarity with open-source data technologies and platform-agnostic tooling for data routing, transformation, and orchestration.
• Strong understanding of modular data architecture principles, including scalability, maintainability, reusability, and operational consistency.
• Analytical and troubleshooting skills, with the ability to investigate pipeline issues, evaluate technical trade-offs, and implement effective solutions.
• Strong organizational skills, attention to detail, and the ability to work independently in a remote, contract-based environment.
• Effective communication and collaboration skills to coordinate with technical teams and support shared engineering objectives.
• Location and employment: This is a remote contract opportunity for candidates based in the United States. Applicants should be prepared to provide their current location and work authorization details as part of the application process.

Benefits

• Competitive hourly compensation: Indicative contract rate of $40–$50 per hour , depending on experience, skills, and project requirements.
• Remote work flexibility: Work remotely from within the United States, offering greater flexibility in your working environment.
• Contract engagement: An opportunity to contribute specialized engineering expertise to cybersecurity data infrastructure projects.
• Hands-on technical experience: Work with security telemetry, scalable ingestion architectures, pipeline orchestration, and modern data routing technologies.
• Exposure to industry tools: Apply and expand your knowledge of Cribl, Vector, and other open-source or platform-agnostic data engineering solutions.
• Reusable engineering solutions: Develop frameworks and modular architectures that can support broader enterprise security data operations.
• Professional growth: Strengthen your experience in cybersecurity data engineering, high-volume data processing, and scalable pipeline design.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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