Principal Data Engineer

Job not on LinkedIn

🕒 July 1

🏈 North America – Remote

💵 $180k - $220k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 20%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Ledgebrook

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🛡️ Insurance

🤝 B2B

💸 Finance

🔥 Funding within the last year

💰 $65M Series C on 2025-07

Insurance • B2B • Finance

<Ledgebrook> is a tech-enabled Excess & Surplus (E&S) managing general agent (MGA) that provides fast, data-driven quoting and underwriting services to wholesale brokers. Ledgebrook combines a next-generation tech stack, modeling and analytics, and experienced underwriters to deliver rapid, streamlined submissions and casualty products such as general liability and professional liability.

📋 Description

• Architect the Data Platform – Own the end-to-end design of our data infrastructure. • Make the foundational calls on pipeline architecture, data modeling patterns, and platform evolution across Snowflake, dbt, Airflow, and Terraform. • Define Engineering Standards – Establish and enforce practices around data quality, testing, observability, and deployment that the rest of the team builds on. • Enable Data-Driven Decisions at Scale – Design semantic layers and data models complex enough to support underwriting, finance, and executive strategy. • Drive Data Governance – Own the governance posture: data contracts, SLAs, lineage, and documentation. • Shape the ML and AI Foundation – Partner with data science and engineering leadership to ensure the platform supports advanced analytics, ML pipelines, and AI initiatives. • Elevate the Team – Mentor engineers, conduct rigorous code and design reviews, and actively close skill gaps. • Partner at the Leadership Level – Engage directly with actuarial, underwriting, finance, and product leaders to translate business complexity into technical roadmap.

🎯 Requirements

• 8+ 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.

🏖️ 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

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