Data Engineer (Cyber)
Core
Onboard cyber data sources (logs, alerts) into a data platform, build models to codify cyber logic, and ensure data trust through validation and security controls.
Role type
Mid-level Data Engineer (Cyber)
Builds
Cyber data pipelines, data models, and validation tooling for SecOps and Cyber Engineering teams.
Domain
Cybersecurity / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Git, Python, JSON/YAML, Cyber domain literacy (SIEM, MITRE ATT&CK, SOC data needs)
Preferred skills
GCP BigQuery/Snowflake/Databricks, DBT, Terraform, SIEM hands-on experience
Technologies
BigQuery, Snowflake, Databricks, DBT, Terraform, Splunk, Chronicle, Sentinel, QRadar
Responsibilities
Write ingestion configurations and create staging tables/views, implement incremental loading patterns, enforce PII/security controls, add data quality tests and documentation, contribute to Git-based workflows and CI/CD, support backfills and validation tooling.
Seniority
Mid-level, hands-on IC
