资深数据工程师
Principal Data Engineer
#### 公司简介
在Ledgebrook，我们正在打造一家超额与附加（E&S）险种保险公司，将深厚的承保和定价专业知识与适合保险未来的技术平台相结合——真正实现了两者的优势结合。我们的速度和服务贯穿我们所做的每一个决定，我们快速发展的团队证明了我们的价值主张在市场中得到了认可。你带来热情和创业精神，而我们将为你提供释放你最佳才能和技能的机会。立即申请，开启你在Ledgebrook的职业生涯。
#### 岗位介绍
我们正在寻找一位资深数据与分析工程师，能够在深厚的技术工艺和组织杠杆之间找到平衡。你将为我们的数据平台设定技术方向，提高我们构建的标准，并让周围每个人更加高效。
你将负责架构设计，建立其他人可以依赖的标准，并推动工程、精算、财务和产品方面的成果。当出现故障或缺失时，你将发现问题，提出解决方案并完成它。
你将使用现代的数据栈，包括Python、Airflow、dbt、Terraform和Snowflake。你的决策将影响我们多年来的承保智能、定价模型和运营基础设施的扩展。
**你将负责：**
- 架构数据平台 – 负责我们数据基础设施的端到端设计。在管道架构、数据建模模式以及Snowflake、dbt、Airflow和Terraform平台演进方面做出基础性决策。
- 定义工程标准 – 建立并执行数据质量、测试、可观测性和部署方面的实践，其他团队将基于这些标准进行开发。你的模式将成为默认选项。
- 实现大规模数据驱动决策 – 设计足够复杂的语义层和数据模型，以支持承保、财务和高管战略。同时要足够简单，分析师无需指导即可使用。
- 推动数据治理 – 负责治理策略：数据契约、服务级别协议、数据血缘和文档。让可信数据成为系统属性，而不是手动努力。
- 构建机器学习和人工智能基础 – 与数据科学和工程领导合作，确保平台支持高级分析、机器学习流水线和人工智能项目。
- 提升团队能力 – 指导工程师，进行严格的代码和设计评审，积极弥补技能差距。你的影响力是关键
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#### Description
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.
#### About the Role
We're seeking a Staff Data and Analytics Engineer who operates at the intersection of deep technical craft and organizational leverage. You'll set the technical direction for our data platform, raise the bar for how we build, and make everyone around you more effective.
You'll own the architecture, establish the standards others build on, and drive outcomes that span engineering, actuarial, finance, and product. When something is broken or missing, you're the one who identifies it, proposes the solution, and sees it through.
You'll work in a modern data stack with python, Airflow, dbt, Terraform, and Snowflake. Your decisions will shape how we scale underwriting intelligence, pricing models, and operational infrastructure for years.
**What You’ll Do:**
- 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.
#### About you
We love working with people who are eager to learn constantly and genuinely excited about the chaotic, rewarding process of building a company from the ground up.
**You’ll be a great fit if you bring:**
- **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.
#### Requirements
**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
#### Benefits
**U.S & Canada 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.
**Poland Benefits:**
- Completely remote, flexible schedule, and monthly coworking gatherings
- Fully paid LuxMed Family package
- Access to the Helping Hand platform, including therapy sessions
- Unlimited paid time off
**For Candidates Applying From The U.S. and Canada:**
_Please note: This position is open only to candidates who are authorized to work in the United States or Canada without the need for current or future employer-sponsored work authorization. We are unable to offer sponsorship at this time._
**For Candidates Applying From Poland:**
_Please note: 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. We are unable to offer sponsorship at this time._
_Ledgebrook may use Artificial Intelligence (“AI”) as part of the job application process, including to assist us in evaluating your application. AI is used as a support tool, and hiring decisions are made by human recruiters. By submitting your information, you acknowledge that the company may use AI tools as part of our evaluation. If you need a reasonable accommodation or alternative review process because of a disability or other legally protected basis, contact_ [_hiring@ledgebrook.com_](mailto:hiring@ledgebrook.com) _. Requesting an accommodation will not negatively affect your application._
#### Compensation
_Compensation:_
- 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.