Data Engineer, Security
Core
Design and develop a data lifecycle and Medallion Architecture on Snowflake to transform raw Cyber Security data into high-performance products for business intelligence and AI/ML applications.
Role type
Senior Data Engineer (Cyber Security)
Builds
Scalable ELT pipelines, Star Schema models, feature stores, and data foundations for AI-driven risk scoring.
Domain
Cyber Security / Cyber Insurance
Deliverable
production ML models
Required skills
Snowflake, dbt, Looker (LookML), Python, Star Schema design, ELT pipeline engineering, data masking, RBAC, automated alerting, code reviews.
Preferred skills
Experience with Cursor or AI-assisted coding, prior work in Cybersecurity or Cyber Insurance, experience building data foundations for AI Agents.
Technologies
Snowflake, dbt, Looker, Python, Cursor
Responsibilities
Design and implement robust Star Schema models within a Medallion Architecture; Build scalable ELT pipelines using Snowflake and dbt; Define and implement critical SLIs and automated alerting for data freshness and integrity; Develop and maintain the LookML semantic layer; Implement data masking, RBAC, and secure data handling practices; Act as a technical peer helping the team level up through Code Reviews and sharing best practices; Build feature stores and data foundations for AI-driven risk scoring and automated underwriting.
Seniority
Senior, hands-on IC
