Note: The job is a remote job and is open to candidates in USA. Ledgebrook is seeking a Data & Analytics Engineer to address complex technical challenges in the insurance industry. The role will own key parts of the engineering stack, develop scalable data architecture and pipelines, establish data governance and security practices, and collaborate with technical and business stakeholders.
Responsibilities
- 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
Skills
- 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)
- 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
- This position is open only to candidates who are authorized to work in Poland without the need for current or future employer-sponsored work authorization
- This position is open only to candidates who are authorized to work in Canada without the need for current or future employer-sponsored work authorization
- 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
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
- A high degree of ownership, autonomy, and the opportunity to help build and shape a growing company
- The chance to make a meaningful impact while working alongside an ambitious, high-performing team
- Exposure to the challenges and opportunities of a fast-growing startup environment
- Employees in this position are eligible to participate in Ledgebrook’s equity incentive program.
Company Overview