Why join us
Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises — including DoorDash, Flexport, and Compass — use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Data at Brex
Our Scientists, Analysts, and Engineers work together to make data — and insights derived from data — a core asset across Brex. But it’s more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using financial data. Our work is ingrained in Brex’s decision-making process, the efficiency of our operations, our policies, and the unparalleled experience we provide our consumers.
What you’ll do
As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications.
Where you'll work
This role will be based in our Sao Paulo office. You must be willing to work in office at least 2 days per week on Wednesday and Thursday, starting the week of September 1st, 2025, when we open our Sao Paulo office. Employees will be able to work remotely for up to 4 weeks per year, for a minimum of one week at a time.
Responsibilities
- Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company
- Collaborate closely with Data Scientists, BI Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation
- Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications
- Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company
- Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications
- Set and proliferate company-wide standards for data relating to structure, quality, and expectations
- Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives
Requirements
- 3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering
- 2+ years of experience working with modern data transformation tools like DBT
- Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data
- Experience integrating and orchestrating data workflows with various modern data tools and systems
- Experience with data modeling, ETL/ELT processes, and data warehousing solutions
- Experience working with a data warehouse such as Snowflake
- Experience with a data workflow orchestrator tool such as Airflow
- Experience with a programming language such as Python
- Familiarity with BI tools such as Looker, Tableau, or similar platforms is a plus
- Exceptional quantitative and analytical skills
- Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical
- English proficiency/fluency, both written and speaking (note: interviews will be conducted in English)
Location
- Must be working in Brazil at the start of role
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
Top Skills
What We Do
Brex is all-in-one finance for growing businesses. We help companies spend, save, and earn smarter—and take every dollar further—by doing more than a bank, bookkeeping, or reward program could ever do alone. After completing the Y Combinator accelerator program in 2017, Brex has grown to over 600 employees and raised over US $940 million in venture capital. Learn more at brex.com.
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