Job Description
<h3>📋 Description</h3> • Ledgebrook is an InsurTech MGA on a mission to bring Specialty insurance into the modern era.
• 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 succeed in modernizing the industry, we must first succeed in changing the way we do business.
• We’re looking for a talented Data Engineer to help us solve the complex, technical challenges of a changing insurance landscape.
• Partner with leadership, engineers, underwriters, and actuaries to understand data requirements.
• Design, develop and deploy a scalable modern data stack to support business objectives.
• Build a data-driven culture throughout the organization.
• A passion to deliver a world-class customer service experience to both internal and external customer.
• Agile prioritization skills coupled with a keen sense of urgency. <h3>🎯 Requirements</h3> • Must haves
• 4+ 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 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 Query
• Nice to haves
• Prior startup experience
• Experience with data transformation tools like dbt
• Experience with data integration tools like Fivetran and Hevo
• Experience with data orchestration tools like Prefect and AIrflow
• Experience solving insurance industry / domain related challenges
• Understanding of data security and user data privacy regulations
• Familiarity 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. <h3>🏖️ Benefits</h3> • Competitive salary and meaningful equity ownership
• Ownership, autonomy, purpose
• Remote work, flexible hours
• Unlimited time off policy
• Health Insurance, dental, vision & other options
• 401k plan