Data Engineer

About the Role

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.
What you’ll do

- 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

About you

Here 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 customer

- Intellectual curiosity and desire to innovate processes/procedures versus being satisfied with the status quo

- A desire to continue learning through on-the-job mentorship or formal educational/training opportunities

- Agile prioritization skills coupled with a keen sense of urgency that seeks to balance getting it right versus getting it done right now

- A strong drive and desire to win together as a high-performing team

- A moral compass to "do the right thing, period", we have zero tolerance for toxic behaviors.

Requirements
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 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)

Nice to haves

- 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, auto