Ledgebrook
51 - 200 employees
Founded 2021
💸 Finance
💳 Fintech
💰 Series B on 2024-09
Finance • Fintech • Insurance
Ledgebrook is a tech-enabled E&S managing general agent (MGA) that provides wholesale brokers with a fast and efficient quoting experience. With a focus on speed and technology-driven underwriting solutions, Ledgebrook utilizes advanced modeling and analytics to deliver quotes rapidly and enhance broker submissions. The company offers various insurance products, including general liability, professional liability, and excess casualty coverage, ensuring tailored solutions for specific client needs.
Principal Data Engineer
Job not on LinkedIn
🔥 45 minutes ago
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Ledgebrook
51 - 200 employees
Founded 2021
💸 Finance
💳 Fintech
💰 Series B on 2024-09
Finance • Fintech • Insurance
Ledgebrook is a tech-enabled E&S managing general agent (MGA) that provides wholesale brokers with a fast and efficient quoting experience. With a focus on speed and technology-driven underwriting solutions, Ledgebrook utilizes advanced modeling and analytics to deliver quotes rapidly and enhance broker submissions. The company offers various insurance products, including general liability, professional liability, and excess casualty coverage, ensuring tailored solutions for specific client needs.
📋 Description
• Architect the Data Platform – Own the end-to-end design of our data infrastructure. • Make the foundational calls on pipeline architecture, data modeling patterns, and platform evolution across Snowflake, dbt, Airflow, and Terraform. • Define Engineering Standards – Establish and enforce practices around data quality, testing, observability, and deployment that the rest of the team builds on. • Enable Data-Driven Decisions at Scale – Design semantic layers and data models complex enough to support underwriting, finance, and executive strategy. • Drive Data Governance – Own the governance posture: data contracts, SLAs, lineage, and documentation. • Shape the ML and AI Foundation – Partner with data science and engineering leadership to ensure the platform supports advanced analytics, ML pipelines, and AI initiatives. • Elevate the Team – Mentor engineers, conduct rigorous code and design reviews, and actively close skill gaps. • Partner at the Leadership Level – Engage directly with actuarial, underwriting, finance, and product leaders to translate business complexity into technical roadmap.
🎯 Requirements
• 8+ years of experience in data engineering or analytics engineering • Expert-level command of Python and SQL, with a history of production systems that others maintain and build on. • Deep hands-on experience with Airflow, dbt, Terraform, and Snowflake (or equivalents) in production environments. • Demonstrated ability to own platform architecture decisions end-to-end: design, tradeoffs, delivery, and iteration. • Track record of driving cross-functional alignment on technical direction without relying on positional authority. • Experience building and enforcing data quality, observability, and governance frameworks at scale. • Comfort operating in high-ambiguity environments where you define the path, not just walk it.
🏖️ Benefits
• Full remote flexibility and asynchronous work culture • Unlimited PTO and fully paid sick leave • Comprehensive health benefits, including medical, dental, and vision coverage, plus HSA and FSA options • Additional financial protection and retirement benefits, including a 401(k), company-paid life insurance, and disability coverage • A high degree of ownership, autonomy, and the opportunity to help build and shape a growing company • The chance to make a meaningful impact while working alongside an ambitious, high-performing team • Exposure to the challenges and opportunities of a fast-growing startup environment
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