高级数据工程师
Senior Data Engineer
没有什么比改变一个停滞了几十年的行业更令人兴奋的了。
Federato 是一个以人工智能为核心的平台，正在将代理型 AI 引入整个保险政策生命周期。我们正在积极改变保险工作的完成方式，世界也在关注：我们已经筹集了 1.8 亿美元，其中包括高盛提供的 1 亿美元 D 轮融资。我们拥有强大的产品市场匹配度，并在全球快速成长。
你将有机会与全球最先进的 AI 团队之一一起解决复杂的问题。如果你就是我们需要的人，你就会知道，将 AI 塔在传统系统上的做法太弱，无法产生实际影响。这就是为什么我们从第一天起就构建了一个以 AI 为核心平台。在这里你可以做到在传统软件公司永远无法实现的事情：快速行动并证明它，而不是空谈理论。我们从基本原理思考问题。你将解决真正重要的问题，开发从根本上改变保险运作方式的软件。
职位概述
你将加入 Federato AI/ML 组织中的一个小而影响力大的数据工程团队。我们的重点是构建基础设施和内部框架，使机器学习工程师能够开发、部署和迭代从基于提示的 LLM 流程到更传统的模型驱动系统的 AI 功能。我们与 ML、分析和产品团队紧密合作，确保数据和工具可靠、可扩展，并符合我们以 AI 为核心平台的需求。
你将负责的工作：
- 与数据科学、产品经理和软件工程师合作，构建稳健的 ETL 管道，使产品支持团队能够交付引人注目的用户功能
- 参与架构决策、可观测性工具和数据质量计划，确保我们的平台稳健且易于维护
- 参与构建可扩展的内部框架，用于管理提示工程管道和其他 AI 工作流
- 在 AI/ML 组织中推行并提升工程最佳实践，包括代码质量、测试和文档
我们希望你是：
- 5 年以上数据工程、后端工程或相关角色经验，专注于数据基础设施
- 有设计和维护可扩展数据管道的经验（例如使用 Airflow、Dagster 或 Prefect）
- 有软件开发实践经验，如版本控制、CI/CD 或 dbt 测试策略
- 精通 SQL 和 Python，有 TypeScript 经验者优先
查看英文原文
There's nothing more exciting than transforming an industry that's been stagnant for decades.
Federato is an AI-native platform that’s bringing agentic AI to the full policy lifecycle. We’re aggressively transforming how insurance work gets done, and the world is paying attention: we've raised $180 million, including a $100 million Series D from Goldman Sachs. We have powerful product-market fit, and we're growing fast globally.
You'll get to work on complex problems with one of the most advanced AI teams you'll find anywhere. If you're the person we need, you know that AI bolted onto legacy systems is too weak to matter. That's why we built our platform to be AI-native from day one. That's why you can do here what you can never do at a legacy software company. move fast and prove it, not theorize it. We think from first principles. You’ll work on problems that matter, building software that fundamentally changes how insurance operates.
Role Overview
You’ll be joining a small, high-impact data engineering team within Federato’s AI/ML organization. Our focus is on building the infrastructure and internal frameworks that empower machine learning engineers to develop, deploy, and iterate on AI-powered features ranging from prompt-based LLM workflows to more traditional model-driven systems. We collaborate closely with ML, analytics, and product teams to ensure data and tooling are reliable, scalable, and aligned with the needs of our AI-native platform.
What You'll Be Doing:
- Collaborate with Data Science, Product Managers and Software Engineers to build robust ETL pipelines that enable the Product Support team to deliver compelling user-facing features
- Contribute to architecture decisions, observability tooling, and data quality initiatives that keep our platform robust and maintainable.
- Contribute to a scalable internal framework for managing prompt engineering pipelines and other AI workflows.
- Enforce and elevate engineering best practices across the AI/ML org, including code quality, testing, and documentation.
Who We Hope You Are:
- 5+ years of experience in data engineering, backend engineering, or related roles with a focus on data infrastructure.
- Proven experience designing and maintaining scalable data pipelines (e.g., using Airflow, Dagster, or Prefect).
- Experience with software development practices like version control, CI/CD, or dbt testing strategies.
- Strong proficiency in SQL and Python, with bonus points for Typescript (or similar) experience
- Comfort working with version control, CI/CD systems, and cloud infrastructure (e.g., AWS, GCP, Terraform).
- Comfortable navigating ambiguity and working closely with business stakeholders to understand their data needs.
- Proven track record of designing high-impact data products and pipelines in fast-paced environments.
Bonus Points for:
- Prior experience working in or adjacent to insurance, fintech, or risk modeling domains.
- Prior exposure to ML ops or experience supporting AI/ML-driven products
- Enthusiasm for building internal tools or frameworks to improve team velocity.
- Contributions to open-source data tools or involvement in the data community.
$160,000 - $210,000 a year
Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above. Total compensation package does include stock options, benefits and additional perks.
Here at Federato, your capabilities are important, but culture fit is essential. We move fast, are eager to listen to our users, take a first principles approach to solving problems, and value learning and the ability to change our minds. Most importantly, we're here to have fun. Our ability to make a difference starts with our people. We would love to work with you!
We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender expression, sexual orientation, age, marital status, veteran status or disability status. We will provide reasonable accommodation to individuals with disabilities to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at talent@federato.ai