Data Engineer

Why join us

Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly

Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most Tens of thousands of the worlds best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.

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 and Engineers work together to make data — and insights derived from data — a core asset across Brex But its more than just crunching numbers The Data team at Brex develops infrastructure, statistical models, and products using data

Our work is ingrained in Brexs decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.

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 Youll 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 San Francisco office We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home

We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday As a perk, we also have up to four weeks per year of fully remote work!

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, Data Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data soluti