Data Engineer

We’re looking for a talented Data & Analytics 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.

• →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

• 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 experience with Python
• Experience with IaC
• Strong experience with SQL and NoSQL databases.
• Experience with data modeling, ELT processes, and data warehousing.
• 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)

Please note: This position is open only to candidates who are authorized to work in the United States or Canada without the need for current or future employer-sponsored work authorization. We are unable to offer sponsorship at this time.

Ledgebrook may use Artificial Intelligence (“AI”) as part of the job application process, including to assist us in evaluating your application. AI is used as a support tool, and hiring decisions are made by human recruiters. By submitting your information, you acknowledge that the company may use AI tools as part of our evaluation. If you need a reasonable accommodation or alternative review process because of a disability or other legally protected basis, contact hiring@ledgebrook.com. Requesting an accommodation will not negatively affect your application.

• 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.