Data Engineer

Who you are

• BI Tools: Experience with Looker (LookML)
• Modern Tooling: Active user of Cursor or other AI-assisted coding environments
• Industry Experience: Prior experience in Cybersecurity or Cyber Insurance
• AI/ML Interest: Experience building data foundations for AI Agents

What the job involves

• We are hiring a Data Engineer to build our data platform across our Cyber Security value chain
• This includes Security and Sales management
• You will be the go-to partner for Stakeholders, Research team and Data Science team requiring Cyber Security related Data
• As a Data Engineer, you will design and develop our data lifecycle, transforming raw data into high-performance data products
• You will build and scale our Medallion Architecture on Snowflake, utilizing dbt to ensure our data is clean, modeled, and ready for both business intelligence in Looker and advanced AI/ML applications
• Data Modeling & Architecture: Design and implement robust Star Schema models within a Medallion Architecture (Bronze/Silver/Gold) to support complex Cyber Insurance and Cyber Security analytics
• Pipeline Engineering: Build scalable ELT pipelines using Snowflake and dbt, ensuring high data quality and observability
• Monitoring & Observability: Define and implement critical SLIs—specifically around data freshness, volume, and schema integrity. Build automated alerting to ensure SLOs are met
• BI Enablement: Develop and maintain the LookML semantic layer for business stakeholders
• Security & Compliance: Implement data masking, RBAC, and secure data handling practices
• Engineering Excellence & Mentorship: Act as a technical peer helping the team level up through Code Reviews and sharing dbt/Python best practices
• AI Integration: Build feature stores and data foundations for AI-driven risk scoring and automated underwriting

The application process

• Consistent with our commitment to transparency, if you are interviewed for this role, we will provide a status update on your application within 45 days of your final interview

Benefits

• Paid parental leave
• 401k plan
• Stock option plan
• Open vacation days
• Flexible working hours
• Work from home opportunities
• Health insurance