Staff Analytics Engineer

Nubank

Hybrid

Quick summary

Work type
Hybrid
Location
Durham, NC · Miami, FL · Palo Alto, CA · Washington, DC
Posted
today

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Salary context

How this pay compares to similar roles

Similar $187k
$134k most similar roles pay here $235k

This listing doesn't post a salary. Most similar roles pay $149,312–$223,775.

Based on 240 similar postings.

Employer

About Nubank

Nubank is one of the world's largest digital financial services companies, offering credit cards, personal loans, savings accounts, and insurance to tens of millions of customers across Brazil, Mexico, and Colombia.

Nubank currently has 11 open roles on FindRole.

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At a glance

TL;DR · Staff Analytics Engineer

As a Staff Analytics Engineer (IC7) at Nubank, you will lead the development of a canonical data ecosystem for all payment and transfer flows across the company’s global platform. Your role involves designing and implementing robust data architectures that support regulatory, accounting, analytics, and AI use cases while ensuring data governance and risk management standards are met. You will work independently to define technical roadmaps, manage complex stakeholder relationships, and mentor junior engineers. The ideal candidate has deep expertise in data architecture, experience in regulated environments, proficiency in SQL and general-purpose programming languages like Python or Scala, and a strong understanding of modern data stacks including streaming platforms and orchestration frameworks. This role offers significant visibility and impact, with the opportunity to shape Nubank’s central nervous system for financial operations on a global scale.

What you'll do

  • Define and own the vision for a canonical data ecosystem covering all payment and transfer flows.
  • Lead end-to-end, high-stakes data projects with full autonomy from requirements to delivery.
  • Design robust, scalable data pipelines supporting regulatory, accounting, analytics, and AI use cases.
  • Build and enforce governance standards to reduce regulatory and operational risk across the organization.
  • Navigate complex stakeholder landscapes to drive adoption of canonical data sources and challenge status quo when necessary.
  • Set technical leadership for Analytics Engineering function by mentoring ICs up to IC6 level.

What we're looking for

  • Proven ownership mindset in leading complex, high-impact data initiatives.
  • Deep expertise in designing data architectures for transactional and regulatory environments.
  • Experience working in regulated financial services with knowledge of compliance implications.
  • Demonstrated ability to manage stakeholders and influence technical direction across teams.
  • Advanced SQL skills and proficiency in building production data pipelines using Python or Scala.
  • Cross-tool experience across modern data stacks including streaming platforms, warehouses, and frameworks.

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