> Markdown version of [/jobs/ext/2540327-data-engineer-security](https://www.wearedevelopers.com/jobs/ext/2540327-data-engineer-security). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer, Security - **Company:** Coalition Inc. - **Location:** United States (Remote available) - **Contract:** Permanent contract - **Skills:** 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, Star Schema, Looker Analytics, Data Pipelines - **Published:** August 4, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/data-engineer-security-usa-58811926 ## About the Role 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 ## 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 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Are Code Reviews Worth It? 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