Data & Analytics Engineer

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 will build our 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 will be 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 investors including Brand Foundry & American Family Ventures.What you’ll doPartner with leadership, engineers, underwriters, and actuaries to understand data requirementsDesign, 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 requirementsDesign data architecture to accommodate data pipelines to move data across a multitude of platformsCraft 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 initiativesDefine security and backup procedures Communicate effectively with technical and non-technical audiencesBuild a data-driven culture throughout the organizationElevate our technology and best practices through partnership with the CTOAbout youHere 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 customerIntellectual curiosity and desire to innovate processes/procedures versus being satisfied with the status quoA desire to continue learning through on-the-job mentorship or formal educational/training opportunitiesAgile prioritization skills coupled with a keen sense of urgency that seeks to balance getting it right versus getting it done right nowA strong drive and desire to win together as a high-performing teamA moral compass to "do the right thing, period", we have zero tolerance for toxic behaviors.Must haves4+ 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 solutionsStrong leadership and communication skills, with experience managing and leading teams of data engineers.Strong experience with SQL and NoSQL databases.Experience with data modeling, ETL processes, and data warehousing.Strong understanding of data governance and security best practices.Experience with cloud computing solutions such as AWS, Azure, or GCP.Experience with cloud data solutions such Snowflake, Databricks, and Big QueryNice to havesPrior startup experienceExperience with data transformation tools like dbtExperience with data integration tools like Fivetran and HevoExperience with data orchestration tools like Prefect and AIrflowExperience solving insurance industry / domain related challengesUnderstanding of data security and user data privacy regulationsFamiliarity with data visualization tools (e.g. Power BI, Tableau, Looker)Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.Degree in computer science, data science, or a related field.Strong experience with data analytics, statistics, and data science concepts.