CA and US onlyDescription
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.
About the Role
We’re looking for a talented Data Engineer to help us solve the complex, technical challenges of a changing insurance landscape. The ideal candidate loves to build, communicates well with business stakeholders, and is motivated by a fast-paced environment. This person will be a key leader of our engineering team, with direct ownership of many parts of the stack.
What you’ll do
- 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
About you
Here at Ledgebrook we are passionate about creating a team that is on a continuous learning journey and that shares our excitement about building a company from the ground up. Some of the characteristics we hold dear are:
- A passion to deliver a world-class customer service experience to both internal and external customer
- Intellectual curiosity and desire to innovate processes/procedures versus being satisfied with the status quo
- A desire to continue learning through on-the-job mentorship or formal educational/training opportunities
- Agile prioritization skills coupled with a keen sense of urgency that seeks to balance getting it right versus getting it done right now
- A strong drive and desire to win together as a high-performing team
- A moral compass to "do the right thing, period", we have zero tolerance for toxic behaviors.
Requirements
Must haves
- 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
- Strong experience with Python
- 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)
Nice to haves
- Prior startup experience
- Experience with Terraform (IaC)
- Strong understanding of data governance and security best practices.
- Experience with data transformation tools like dbt
- Experience with data loading tools like Fivetran and HevoData
- Experience with data orchestration tools like Airflow
- Experience solving insurance industry / domain related challenges
- Experience building and deploying LLM applications
- Strong background in time series forecasting, NLP, and predictive modeling.
- Degree in a science or engineering discipline
- Strong experience with data analytics, statistics, and data science concepts.
Important - only for candidates applying from the U.S.:
Please note: This position is open only to candidates who are authorized to work in the United States without the need for current or future employer-sponsored work authorization. We are unable to offer visa sponsorship at this time.”
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
United States
Poland only
