- Страна
- США
- Зарплата
- 270 000 $
Откликайтесь
на вакансии с ИИ
Staff Software Engineer, Data
Оценка ИИИсключительная вакансия в одном из крупнейших необанков мира с прозрачной и высокой компенсацией ($270k + RSU). Интересные задачи на стыке финтеха и Big Data, сильный социальный пакет и возможность влиять на продукт глобального масштаба.
Сложность вакансии
Оценка ИИРоль уровня Staff требует не только глубоких технических знаний распределенных систем (Spark, Kafka), но и высокого уровня стратегического мышления, способности управлять архитектурной неопределенностью и менторить старших инженеров. Высокая планка ответственности за глобальную инфраструктуру данных.
Анализ зарплаты
Оценка ИИПредложенная базовая зарплата в $270,000 находится на верхнем пределе рыночного диапазона для Staff-позиций в Пало-Альто, особенно с учетом дополнительных RSU, что делает предложение крайне конкурентоспособным.
Сопроводительное письмо
I am writing to express my strong interest in the Staff Software Engineer (Data) position at Nubank. With extensive experience in architecting distributed systems and leading large-scale data initiatives, I have consistently focused on building robust data platforms that serve as a foundation for critical business decisions. My background in managing complex data contracts and optimizing Spark/Kafka pipelines aligns perfectly with Nubank's mission to fight complexity and ensure data excellence at scale.
Throughout my career, I have acted as a technical strategist, bridging the gap between complex infrastructure needs and long-term business goals. I am particularly drawn to Nubank's culture of engineering excellence and its commitment to financial inclusion. I am eager to bring my expertise in systems design and mentorship to your Palo Alto team, helping to set the technical bar for the data function and supporting the next phase of your global growth.
Составьте идеальное письмо к вакансии с ИИ-агентом
Откликнитесь в nubank уже сейчас
Присоединяйтесь к Nubank, чтобы создавать архитектуру данных мирового уровня и определять будущее финтеха!
Описание вакансии
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.
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.
Создайте идеальное резюме с помощью ИИ-агента
Навыки
- Spark
- Flink
- Kafka
- Distributed Systems
- System Design
- Cloud Data Warehousing
- MLOps
- Data Engineering
Возможные вопросы на собеседовании
Для уровня Staff важно понимать, как кандидат обеспечивает надежность данных при масштабировании систем.
Расскажите о вашем опыте внедрения 'Data Contracts'. Как вы обеспечивали их соблюдение в распределенных командах?
Проверка навыков проектирования сложных систем и понимания компромиссов.
Опишите случай, когда вам пришлось выбирать между Spark и Flink для конкретной задачи. Какими критериями вы руководствовались?
Оценка способности кандидата влиять на бизнес-результаты через технические решения.
Как вы связываете архитектурные решения в области данных с бизнес-метриками, такими как стоимость привлечения клиента (CAC) или операционная эффективность?
Staff-инженер должен уметь разрешать конфликты и направлять команды.
Приведите пример, когда вы успешно разрешили критическую техническую проблему, затрагивающую несколько департаментов. Как вы выстраивали коммуникацию?
Проверка лидерских качеств и способности развивать инженерную культуру.
Как вы подходите к менторству Senior-инженеров и какие методы используете для повышения технической планки в организации?
Похожие вакансии
Senior Data Scientist
Senior Data Scientist
Senior Machine Learning Scientist, Advertising
Senior Data Scientist
Senior Data Scientist
Cubist Senior Data Scientist
1000+ офферов получено
Устали искать работу? Мы найдём её за вас
Quick Offer улучшит ваше резюме, подберёт лучшие вакансии и откликнется за вас. Результат — в 3 раза больше приглашений на собеседования и никакой рутины!
- Страна
- США
- Зарплата
- 270 000 $