SecOps Data & Analytics Engineer

Company

• Our client is a recognized cybersecurity consulting and services organization helping enterprises and government agencies strengthen security operations, reduce risk, and maximize their technology investments. The organization has earned repeated industry recognition for its technical expertise, growth, and workplace culture.

Job Title

• SecOps Data & Analytics Engineer

Location

• Remote in the US

Role Type

• Contract

Must Have Skills:

• Consultant-level Cribl experience, with strong hands-on expertise implementing and optimizing the platform
• Strong understanding of data lineage and data fidelity
• Knowledge of data management and security operations data best practices
• Understanding of at least one of the following: Australian Signals Directorate (ASD) requirements/guidance, M-21-31, or M-26-14

Responsibilities and Job Details:

• Support SecOps data and analytics engineering initiatives within complex security environments
• Design, implement, and optimize data pipelines and workflows using Cribl
• Help ensure security data maintains appropriate lineage, fidelity, quality, and integrity throughout its lifecycle
• Apply data management best practices to security operations data and analytics environments
• Work with security telemetry and data sources to improve the availability and usability of information for SecOps teams
• Provide technical expertise and consultative guidance around Cribl and security data architecture
• Support solutions aligned with applicable cybersecurity requirements, frameworks, and government guidance
• Collaborate with technical stakeholders to identify data requirements and develop scalable approaches for managing security operations data
• Help optimize the flow, transformation, routing, and management of security telemetry across the environment