Splunk / Cribl Engineer - Cybersecurity Engineering (Hybrid)
Core
Design, implement, and optimize data pipelines and SIEM platforms to ingest, normalize, and analyze security telemetry for business protection.
Role type
Senior Splunk/Cribl Data Engineer (Cybersecurity)
Builds
Streaming and batch data pipelines, SIEM data models, and analytics environments for security operations.
Domain
Cybersecurity / Data Engineering / SIEM
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Splunk SPL, Splunk Enterprise administration, data pipeline development, regular expressions, data modeling, database management, CI/CD, Git, Python/PowerShell/Go scripting
Preferred skills
Splunk certifications, Cribl certifications, ETL in SIEM environments, log analysis, cloud data engineering certifications
Technologies
Splunk, Cribl, ELK, Exabeam, Git, CI/CD, Python, PowerShell, Go
Responsibilities
Design and enhance streaming/batch data pipelines; normalize and harmonize unstructured logs for SIEM ingestion; build scalable data models and schemas; validate data integrity and lineage; integrate disparate security telemetry sources; execute testing and debug pipeline issues; manage analytics and reporting environments; plan capacity for streaming and storage infrastructure; enforce data ingestion standards and retention policies; automate metrics aggregation.
Seniority
Senior, hands-on IC