Data Engineer
2 meses atrás
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 BrexOur 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 doAs 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.
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.
- 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).
- Must be willing to work in office 2 days per week on Wednesday and Thursday, starting September 1st, 2025 when we open our Sao Paulo office.
- Must be working in Brazil at the start of role.
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