企业工程师
Enterprise Engineer
我们致力于赋予劳动者财务自由。我们通过帮助公司加快支付流程，并为美国劳动者提供可访问、免费的金融服务来实现这一目标。我们致力于打造更具包容性、透明度和无缝体验的金融产品。
我们的赋权理念同样适用于我们自己的员工。如果你有好的想法？今天就分享出来，它可能明天就会被实施。作为我们团队的一员，你的声音和创造力很重要，它们可以直接影响我们的产品、公司和文化。
我们不仅关注吸引全国各地的优秀人才，还注重打造帮助这些人才茁壮成长的团队。这意味着重视多元化的观点和工作方式，同时建立对创新、主动性和共同成功的信念。
加入我们的团队，一起开发新的方式来改善美国劳动者的日常生活。
职位描述：
我们正在寻找一名企业工程师加入我们的数据团队。在这个职位上，你将帮助设计和构建运行业务的相互关联的系统，利用第三方工具、MCP 服务器、内部 API、轻量级网络应用和自动化工作流。
这是一个 Python 工程师的职位，希望你能够构建、部署和维护高影响力的内部工具和自动化系统。我们的团队规模小，高度信任，重视清晰度、可维护性和细节的准确性。
你将负责：
- 构建和维护 MCP 服务器，以确定性的方式将数据平台功能和企业业务系统暴露给内部工具和 AI 工作流
- 构建内部 API，丰富可编程资源的生态系统
- 使用 Streamlit 构建轻量级网络应用和仪表盘，以支持内部流程
- 开发状态应用程序，确保各种流程遵循标准操作程序
- 在 Python 中开发和维护自动化工作流和管道
- 编写干净、文档齐全的代码，并为技术质量文化做出贡献
我们希望你具备：
要求：
- 2 年以上 Python 经验
- 1 年以上全栈开发经验
- 熟练掌握 SQL 和关系型数据库
- 良好的沟通能力，能够跨职能协作
加分项：
- 金融科技、支付或金融服务背景
- 有构建或使用 MCP 服务器的经验
- 有设计和构建 API 的经验（优先 FastAPI 或 Flask）
- 有 Str 的经验
查看英文原文
About us:
Branch is on a mission to empower workers with financial freedom. We do this by helping companies accelerate payments and providing working Americans with accessible, free financial services. We’re committed to building and delivering more inclusive, transparent, and frictionless financial products.
Our goal of empowerment extends to our own employees, too. Have a great idea? Share it today and it might just get implemented tomorrow. As a member of our team, your voice and creativity matter—and they can directly impact our products, company, and culture.
We not only focus on attracting great talent from across the country, but also on building teams that help that talent thrive. That means valuing a diversity of opinions and working styles, while creating a shared belief in innovation, initiative, and winning together.
Come join our team as we develop new ways to improve the lives of working Americans.
About the role:
We're looking for an Enterprise Engineer to join our Data team. In this role, you'll help architect and build the interconnected systems that run the business, leveraging third party tools, MCP servers, internal APIs, lightweight web apps, and automated workflows.
This is a role for a Python engineer who wants to build, deploy, and maintain high impact, in-house tools and automation. Our team is small, high-trust, and values clarity, maintainability, and getting the details right.
What You'll Do
- Build and maintain MCP servers that expose data platform capabilities and enterprise business systems to internal tools and AI workflows in a deterministic way
- Build internal APIs to enrich the ecosystem of programmatically addressable resources
- Build lightweight web apps and dashboards using Streamlit to support internal processes
- Develop stateful applications that ensure SOP of various processes are followed in order
- Develop and maintain automated workflows and pipelines in Python
- Write clean, well-documented code and contribute to a culture of technical quality
What We're Looking For
Required
- 2+ years of Python experience
- 1+ years of full-stack development
- Strong proficiency in SQL and working with relational databases
- Strong communication skills and ability to work cross-functionally
Nice to Have
- Background in fintech, payments, or financial services
- Experience building or working with MCP servers
- Experience designing and building APIs (FastAPI or Flask preferred)
- Experience with Streamlit or similar lightweight UI frameworks
- Experience with Deterministic LLM programming (ie. LangChain, UserPromptSubmit, PostToolUse)
- Experience with OLTP databases and caching technologies
- Familiarity with workflow automation tools (ie. Airflow, Prefect, n8n)
- Familiarity with cloud infrastructure (ie. AWS, GCP, Azure)
Compensation:
The base salary range for this role is $120-125k. The salary range displayed reflects an average base salary range for the position across all the U.S. The base salary offered to an applicant could be higher or lower based on each applicant's specific skill set, depth of experience, relevant education or training, etc.
Location:
This position is classified as REMOTE within the United States of America.
We are unable to hire candidates located outside of the domestic U.S.
Benefits:
- Market-leading medical, dental, and vision insurance
- Stock options
- Free Premium-Tier Origin Financial Wellness subscription
- Monthly home-office stipend
- 401k (TransAmerica)
- 12-weeks paid parental leave for birthing and non-birthing parents
- Flexible time off + sick and safe time
- 11 paid company holidays
- Branch@Branch Same Day Pay Option
Identity Verification
As part of our application process, you'll receive a separate email from Greenhouse shortly containing a unique identity verification link. This step, powered by Persona, helps us confirm applicant identities and keep our hiring process secure for everyone.
Upon identity verification, all biometric data is deleted. If you need support completing this application, please reach out to Careers@branchapp.com
Working at Branch
A remote-first company with employees located throughout the U.S., Branch emphasizes transparency, accountability, and trust to create a collaborative environment where our product, engineering, marketing, customer support, customer success, and sales teams can all thrive together. Learn more about what we do in this video!
Our collaborative spirit has helped us become an award-winning FinTech company, with Branch’s innovation and workplace recognized across industries. Branch has been honored by Inc., the Webby Awards, Benzinga FinTech Awards, FinTech Breakthrough Awards, Top Workplaces USA, Great Places to Work, and EY Entrepreneur of the Year, Heartland, among others.
Learn more about our culture, approach, technology, and people here: https://www.branchapp.com/about
Branch is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Must be currently authorized to work in the USA without sponsorship or transfer.
No third-parties, please.
View how Branch collects your personal data here.