Data Engineer
Brex
$120,800 - $151,000 / year
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Description
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 world's 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 it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's 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. 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 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 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.
- Use agentic AI where it speeds up pipeline and quality work, without skipping validation.
Requirements
- 3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.
- 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.
- Experience with agentic AI.
- Exceptional quantitative and analytical skills.
- Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.
Nice to have
- Familiarity with BI tools such as Looker, Tableau, or similar platforms.
- Solid dbt in production: models, tests, docs, and collaboration in a shared repo.
- AI-ready data: Metrics and dimensions are clear and reusable so AI-assisted analysis does not fork definitions.
- Experience with Salesforce data integration.
Compensation
The expected salary range for this role is $120,800 - $151,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
Brex LLC is a wholly owned subsidiary of Capital One, N.A.
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.
Benefits
- stock options
- remote work
About this role
Brex is hiring a Data Engineer to build the infrastructure that turns raw company data into insights driving decisions across the organization. You'd work in San Francisco on a hybrid schedule (three days in-office minimum, with up to four weeks fully remote annually), designing and maintaining data models and pipelines that scale across Brex's growing suite of financial products. The role sits at the intersection of technical depth and cross-functional collaboration—you'll partner with Data Scientists, Analysts, and business teams to translate their needs into robust data solutions, while also owning the quality and documentation of core data tables that feed analytics and reporting across the company.
The position requires at least three years in Data Engineering or Analytics Engineering, with strong SQL fundamentals and hands-on experience in modern data stacks: Snowflake, Airflow, Python, and ETL/ELT processes. You should be comfortable with data modeling, warehousing best practices, and setting company-wide standards for data quality and structure. Experience with agentic AI is listed as a requirement, reflecting Brex's focus on AI-native automation. Bonus qualifications include dbt expertise, BI tools like Looker, and Salesforce integration experience.
This role suits someone who enjoys both technical problem-solving and stakeholder communication—you'll bridge gaps between technical teams and business units while maintaining high standards for data reliability. The salary range is $120,800–$151,000, with equity and other compensation potentially included depending on the offer.
How this employer is doing
average
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Typical pay for this role
$120,000
Typical range: $100,000 to $140,000
This role's local market on JobMinglr
Pay for this role
$120,800 to $151,000 per year
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