资深软件工程师，数据
Staff Software Engineer, Data
Nu 是拉丁美洲领先的数字银行，为巴西、墨西哥和哥伦比亚的 14000 万客户提供服务。公司通过利用数据和专有技术，开发创新产品和服务，引领行业变革。
秉承着对抗复杂性并赋能人们的使命，Nu 为客户完整的金融旅程提供服务，通过负责任的贷款和透明度促进金融包容性。公司由一个高效且可扩展的商业模式驱动，结合低成本服务与不断增长的回报。
Nu 的影响力已获得多项奖项的认可，包括《时代》100 家最具影响力公司、《Fast Company》最具创新力公司以及《福布斯》世界最佳银行。
访问我们的机构页面 https://www.nu.com/2026-en
关于该职位
作为数据资深软件工程师，你将成为我们数据生态系统的专业技术核心。在 Nu，我们不只是“移动数据”，而是构建基础平台，使分析师、机器学习工程师和产品负责人能够做出推动数百万用户金融包容性的决策。
你将负责你所在领域的数据基础设施，解决跨越多个部门的高度复杂和模糊的挑战。你不仅是建造者，更是战略家，能在数据缺口变成瓶颈之前识别它们，并将数据质量视为关键产品。你将为整个团队设定技术标准，确保我们在扩展过程中保持下游系统的绝对可信度。
职责
- 构建数据卓越：设计和演进高扩展性的数据平台、存储解决方案和转换模式，成为组织的“黄金标准”。
- 推动技术战略：定义数据基础设施的长期路线图，在满足当前业务需求的同时兼顾 6-12 个月的战略前景。
- 倡导数据契约：领导实施稳健的数据契约和模式演进实践，确保全球产品团队之间的可靠性。
- 解决复杂模糊问题：排查并解决数据管道中最具挑战性的技术瓶颈，提升系统可观测性和大规模性能。
- 赋能团队：作为高级管理层的关键技术顾问，帮助制定数据栈的战略投资。
- 指导与扩展：通过指导高级工程师、领导跨职能工作组来提高技术标准，并为团队培养人才。
查看英文原文
ABOUT NU
Nu is the leading digital bank in Latin America, serving 140 million customers across Brazil, Mexico, and Colombia. The company has been leading an industry transformation by leveraging data and proprietary technology to develop innovative products and services.
Guided by its mission to fight complexity and empower people, Nu caters to customers’ complete financial journey, promoting financial access and advancement with responsible lending and transparency. The company is powered by an efficient and scalable business model that combines low cost to serve with growing returns.
Nu’s impact has been recognized in multiple awards, including Time 100 Most Influential Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Banks.
Visit our Institutional Page https://www.nu.com/2026-en
ABOUT THE ROLE
As a Staff Software Engineer (Data), you will be the technical cornerstone of our data ecosystem. At Nu, we don't just "move data" we build the foundational platforms that empower analysts, ML engineers, and product leaders to make the decisions that drive financial inclusion for millions.
You will own the data infrastructure for your domain, tackling highly complex and ambiguous challenges that span multiple departments. You aren't just a builder; you are a strategist who identifies data gaps before they become bottlenecks and treats data quality as a mission critical product. You will set the technical bar for the entire function, ensuring that downstream trust remains unbreakable as we scale.
RESPONSIBILITIES
- Architect Data Excellence: Design and evolve high scale data platforms, storage solutions, and transformation patterns that serve as the "gold standard" for the organization.
- Drive Technical Strategy: Define the long term roadmap for data infrastructure, balancing immediate business needs with a 6–12 month strategic horizon.
- Champion Data Contracts: Lead the implementation of robust data contracts and schema evolution practices to ensure reliability across global product teams.
- Solve Complex Ambiguity: Troubleshoot and resolve the most challenging technical bottlenecks in our data pipelines, improving system observability and performance at scale.
- Empower the Function: Act as a key technical advisor for senior leadership, helping to shape strategic investments in our data stack.
- Mentor and Scale: Raise the technical bar by mentoring senior engineers, leading cross functional task forces, and fostering a culture of engineering excellence and data driven decision making.
- Operational Leadership: Pioneer architectural patterns that become reference implementations for the entire company.
QUALIFICATIONS
Required:
- Extensive Technical Leadership: Proven experience leading large scale data engineering initiatives in global, high-growth technology environments.
- Expertise in Distributed Systems: Deep mastery of data processing frameworks (such as Spark, Flink, or Kafka) and modern cloud data warehousing.
- Systems Design Mastery: Ability to independently design and refine solutions for complex data problems, considering long-term scalability and user experience.
- Strategic Acumen: Demonstrated ability to link technical decisions to business drivers like operational efficiency and customer acquisition costs.
- Proactive Problem Solving: A track record of identifying architectural gaps and implementing fixes independently with high autonomy.
Nice to Have:
- Experience with ML Ops and supporting Machine Learning workflows at scale.
- Experience in the financial services or FinTech sector.
WHY NUBANK?
- Purpose-driven work that impacts millions of people.
- Collaborative and inclusive remote culture.
- Competitive compensation and benefits package.
- Learning and development support to grow your career.
- Opportunity to help shape the future of financial services.
OUR BENEFITS
- Total compensation includes base salary, RSUs and benefits. Base salary: $270,000
- Top Tier Medical Insurance
- Top Tier Dental and Vision Insurance
- 401(k) matching
- 20 days time off, 14 company holidays, and great culture that emphasizes work life balance.
- Life Insurance and AD&D
- Nucleo - Our learning platform of courses
- NuLanguage - Our language learning program
- NuCare - Our mental health and wellness assistance program
- Extended maternity and paternity leaves
- Saving Plans - Health Saving Account and Flexible Spending Account
- Twice a week in the office (Palo Alto) + quarterly trips to Sao Paulo (Brazil) to build relationships with coworkers.
Our recruitment process may involve the use of artificial intelligence–enabled tools, such as automated interview transcription and analysis, to support the evaluation process. Artificial intelligence is not used to make final hiring decisions; all decisions are made by human reviewers.