Data and Analytics Engineer - Remote

Overview

Ledgebrook is an InsurTech MGA on a mission to bring Specialty insurance into the modern era. Burdened with legacy technology and processes, the industry has not kept pace with the speed of innovation seen in other sectors. Positioned at the cutting edge of the next generation of InsurTech, Ledgebrook offers the best of both worlds: innovative world-class technology deployed by a leadership team armed with over 100 years of insurance expertise.

Our long-term vision is to become a diversified full stack Specialty re/insurer competing with legacy carriers in product lines & markets across the globe. To get there, Ledgebrook builds its premium base by rolling out a new Specialty product every ~6 months until we prove enough traction to raise a balance sheet, become a full stack carrier and eventually compete in the reinsurance markets. Our initial product is a domestic primary and excess GL E&S policies sourced via wholesale brokers.

At Ledgebrook, everything we do is driven by our culture: Care, Strive, Thrive Together. To succeed in modernizing the industry, we must first succeed in changing the way we do business. Talent density is our north star—fewer, better people working together as one. To that end we’ve replaced all individual incentives with generous equity packages—we play as a team, we win as a team. Everyone benefits handsomely from Ledgebrook’s success.

Ledgebrook is a fully-remote US based company backed by top venture and family office investors including Brand Foundry, American Family Ventures, Duquesne Family Office, and Stephens Group. We’re a fully remote team prioritizing impact, ownership, and collaboration.

In Short

• Partner with leadership, engineers, underwriters, and actuaries to understand data requirements
• Design, develop and deploy a scalable modern data stack to support business objectives
• Design data conceptual and logical models to support business workflow, application functionality and reporting requirements
• Design data architecture to accommodate data pipelines
• Craft a data governance structure to ensure integrity of data
• 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
• Ability to facilitate and gather business requirements
• 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