Data Engineer, Security

Coalition Inc.
United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Code Review Cyber Security Data Infrastructure Data Masking Data Security Cursor (Graphical User Interface Elements) Decision Support Systems Python (Programming Language) Raw Data Role-Based Access Control Snowflake
+3 more
Star Schema Looker Analytics Data Pipelines

Job description

Experteer Overview As a Data Engineer, you will shape Coalition’s data platform across the Cyber Security value chain, turning raw data into high-value products. You’ll implement a Medallion Architecture on Snowflake and use dbt to prepare data for Looker BI and AI/ML workloads. You’ll partner with Stakeholders, Research, and Data Science to deliver reliable, scalable data assets that support cyber insurance analytics and risk scoring. This role blends data modeling, pipeline engineering, and governance to enable data-driven decision making in a remote-first, collaborative environment. Compensation / Benefits * Design and implement Star Schema models within a Medallion Architecture (Bronze/Silver/Gold) for cyber insurance and security analytics * Build scalable ELT pipelines using Snowflake and dbt with a focus on data quality and observability * Define SLIs/SLOs for data freshness, volume, and schema integrity and implement automated alerting * Develop and maintain the LookML semantic layer for stakeholders and BI consumption * Apply data masking, RBAC, and secure data handling practices * Act as a technical peer, conducting code reviews and sharing dbt/Python best practices * Build feature stores and data foundations to support AI-driven risk scoring and automated underwriting Tasks * Looker (LookML) experience * Cursor or other AI-assisted coding tools experience * Prior cyber security or cyber insurance experience * Experience building data foundations for AI agents * Proficiency with Snowflake and dbt Key requirements * 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) * Competitive compensation and opportunity for advancement

Requirements

This layer for stakeholders and BI consumption * Apply data masking, RBAC, and secure data handling practices * Act as a technical peer, conducting code reviews and sharing dbt/Python best practices * Build feature stores and data foundations to support AI-driven risk scoring and automated underwriting Tasks * Looker (LookML) experience * Cursor or other AI-assisted coding tools experience * Prior cyber security or cyber insurance experience * Experience building data foundations for AI agents * Proficiency with Snowflake and dbt Key requirements * 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) * Competitive compensation and opportunity for advancement

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