About the RoleWe’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.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 proceduresCommunicate effectively with technical and non-technical audiencesBuild a data-driven culture throughout the organizationElevate our technology and best practices through partnership with the Director of Data and Analytics EngineeringAbout 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 behaviorsRequirementsMust 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 experience with PythonExperience with IaCStrong experience with SQL and NoSQL databases.Experience with data modeling, ELT processes, and data warehousing.Understanding of data security and user data privacy regulationsExperience with cloud computing solutions such as AWS, Azure, or GCP.Experience with cloud data solutions such Snowflake, Databricks, or Big QueryFamiliarity with data visualization tools (e.g. Power BI, Tableau, Looker)Nice to havesPrior startup experienceExperience with Terraform (IaC)Strong understanding of data governance and security best practices.Experience with data transformation tools like dbtExperience with data loading tools like Fivetran and HevoDataExperience with data orchestration tools like AirflowExperience solving insurance industry / domain related challengesExperience building and deploying LLM applicationsStrong background in time series forecasting, NLP, and predictive modeling.Degree in a science or engineering disciplineStrong experience with data analytics, statistics, and data science concepts._Benefits:_Full remote flexibility and asynchronous work culture.Unlimited PTO and fully paid sick leave.Comprehensive health benefits, including medical, dental, and vision coverage, plus HSA and FSA options.Additional financial protection and retirement benefits, including a 401(k), company-paid life insurance, and disability coverage.
4 days ago