Data Engineer (Cybersecurity)

TL;DR

Data Engineer (Cybersecurity, AI): Building and optimizing a data platform for cyber insurance and security analytics with an accent on designing robust data models, scalable ELT pipelines, and ensuring data quality and observability. Focus on building feature stores and data foundations for AI-driven risk scoring and automated underwriting.

Location: Remote (United States)

Salary: $115,900.00–$155,250.00 USD/year

Company

Coalition is the world's first Active Insurance provider, combining comprehensive insurance coverage and innovative cybersecurity tools to help businesses manage and mitigate potential cyberattacks.

What you will do

• Design and implement robust Star Schema models within a Medallion Architecture.
• Build scalable ELT pipelines using Snowflake and dbt, ensuring high data quality and observability.
• Define and implement critical SLIs for data freshness, volume, and schema integrity, with automated alerting.
• Develop and maintain the LookML semantic layer for business stakeholders.
• Implement data masking, RBAC, and secure data handling practices.
• Build feature stores and data foundations for AI-driven risk scoring and automated underwriting.

Requirements

• Experience with Looker (LookML).
• Active user of Cursor or other AI-assisted coding environments.
• Prior experience in Cybersecurity or Cyber Insurance.
• Experience building data foundations for AI Agents.

Culture & Benefits

• Remote-first, highly inclusive culture.
• 100% medical, dental, and vision coverage.
• Flexible PTO policy.
• Annual home office stipend and WeWork access.
• Mental & physical health wellness programs (One Medical, Headspace, Wellhub, and more).
• Competitive compensation and opportunity for advancement.