Principal Data Engineer

At Ledgebrook, we are building an Excess & Surplus (E&S) lines insurance company that combines deep underwriting and pricing expertise with a modern tech platform fit for the future of insurance– truly a best of both worlds approach. Our speed and service underpin every decision we make, and our rapidly growing team is a testament to our value proposition resonating with the market. You bring the passion and entrepreneurial spirit, and we’ll provide the opportunity to unleash the very best of your talents and skills. Apply now to advance your career at Ledgebrook.

Must Haves

• 10+ years of experience in data engineering or analytics engineering

• Expert-level command of Python and SQL, with a history of production systems that others maintain and build on.

• Deep hands-on experience with Airflow, dbt, Terraform, and Snowflake (or equivalents) in production environments.

• Demonstrated ability to own platform architecture decisions end-to-end: design, tradeoffs, delivery, and iteration.

• Track record of driving cross-functional alignment on technical direction without relying on positional authority.

• Experience building and enforcing data quality, observability, and governance frameworks at scale.

• Comfort operating in high-ambiguity environments where you define the path, not just walk it.

Nice to Have

• Experience in insurance, fintech, or other regulated domains.

• Familiarity with Power BI, Tableau, Looker, or other BI tools.

• Experience designing for compliance and data governance requirements (SOC 2, CCPA, etc.).

• Prior experience building data infrastructure at a high-growth startup for growth stage.

Tech Stack

• Languages: Python, SQL

• Data Stack: Snowflake, dbt, Apache Airflow (AWS MWAA)

• Cloud Infrastructure: AWS, Terraform

• Tools: GitHub, Jira, Confluence, Slack