Data and Analytics Engineer

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October 16

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Ledgebrook

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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.

51 - 200 employees

Founded 2021

💸 Finance

💳 Fintech

💰 Series B on 2024-09

📋 Description

• Partner with leadership, engineers, underwriters, and actuaries to understand data requirements. • Design, develop and deploy a scalable modern data stack to support business objectives (application, reporting and the like). • Design data conceptual and logical models to support business workflow, application functionality and reporting requirements. • Design data architecture to accommodate data pipelines to move data across a multitude of platforms. • Craft a data governance structure to ensure integrity of data and information flow has proper cadence and structure to exceed business objectives while ensuring scalability to support growth initiatives. • Define security and backup procedures. • Communicate effectively with technical and non-technical audiences. • Build a data-driven culture throughout the organization. • Elevate our technology and best practices through partnership with the Director of Data and Analytics Engineering.

🎯 Requirements

• 3+ years of experience in data engineering, with a track record of designing and managing complex data systems. • Ability to facilitate and gather business requirements and come up with scalable engineering solutions. • Strong experience with SQL and NoSQL databases. • Experience with data modeling, ELT processes, and data warehousing. • Experience with IaC. • Understanding of data security and user data privacy regulations. • Experience with cloud computing solutions such as AWS, Azure, or GCP. • Experience with cloud data solutions such Snowflake, Databricks, or Big Query. • Familiarity with data visualization tools (e.g. Power BI, Tableau, Looker).

🏖️ Benefits

• Competitive salary + meaningful equity ownership • 100% employer-paid health insurance • 100% remote work, flexible hours • Unlimited paid time off • Work with an ambitious, smart, fun team to transform a $1T global industry • Ownership, autonomy, purpose