Staff Software Engineer, Data

Nubank•Palo Alto, CA

1d•Hybrid

About The Position

About Us Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building. Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human. Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page Careers at Nu - Join our team! 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.

Requirements

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 Haves

Experience with ML Ops and supporting Machine Learning workflows at scale.
Experience in the financial services or FinTech sector.

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.

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.