Jobs → Data & Analytics → Data Engineer (Cyber Security)

About the Role We are seeking Senior Data Engineers to lead efforts in orchestrating and transforming complex security telemetry data flows. This role focuses on high-level architecture and ensuring secure and reliable movement of data between systems, particularly for legacy and non-standard log sources. Key Responsibilities • Lead the architecture, design, and implementation of scalable, modular, and reusable data flow pipelines using Cribl, Vector, and other open-source platforms • Develop platform-agnostic ingestion frameworks and template-driven architectures to enable reusable ingestion patterns • Spearhead the adoption of a schema normalization strategy, leveraging the Open Cybersecurity Schema Framework (OCSF) • Design and implement custom data transformations and enrichments using scripting languages • Ensure full end-to-end traceability and lineage of data across the ingestion, transformation, and storage lifecycle • Collaborate with observability and platform teams to integrate pipeline-level health monitoring • Oversee and validate data integration efforts, ensuring high-fidelity delivery into downstream analytics platforms • Lead technical working sessions to evaluate and recommend best-fit technologies for managing security telemetry data Requirements • 8+ Years of experience working in Cybersecurity • 5+ Years of experience on CRIBL/Vector/Datadog/Splunk or other data pipeline platforms • 5+ Years of experience on JavaScript, Python, or other scripting language