Ledgebrook

Principal Data Engineer

Vaga remota de Data Engineering com fit claro de localização do candidato.

Publicada14 de jul. de 2026

Países elegíveis1 país aceito

Sinal de senioridadeSenior

Modelo de trabalhoRemoto

Locais aceitos para candidatos

Canadá

Resumo da vaga

Conteúdo da vaga extraído em seções para revisão mais rápida.

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. Your patterns become the defaults.
Enable Data-Driven Decisions at Scale – Design semantic layers and data models complex enough to support underwriting, finance, and executive strategy. Simple enough that analysts can use them without hand-holding.
Drive Data Governance – Own the governance posture: data contracts, SLAs, lineage, and documentation. Make trusted data a property of the system, not a manual effort.
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. Your leverage is measured in part by how much better the people around you get.
Partner at the Leadership Level – Engage directly with actuarial, underwriting, finance, and product leaders to translate business complexity into technical roadmap. You're a peer to stakeholders, not a ticket-taker.

Low Ego, High Impact. You care more about getting it right than being right, and you have the credibility to back it up.
Strong Opinions, Weakly Held. You bring a clear point of view and defend it with evidence, but you update fast when the data changes.
Builder Mentality. You'd rather ship the solution than write a deck about it. You're still writing code.
Multiplier, Not Just Contributor. You measure your success by what the team ships, not just what you built yourself.
Team First. You want to win, but only if we win together.

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.

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.

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

Base Salary Range $180,000-$220,000 This is a good-faith compensation range based on what Ledgebrook reasonably expects to pay for this position at the time of this posting. Actual compensation may vary based on a variety of relevant factors including experience, qualifications, geographic location and other relevant factors.
Employees in this position are eligible to participate in Ledgebrook’s equity incentive program.

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