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Brex logoB
BrexFinance

Data Engineer

San Francisco, California, United StatesFull-timeMid-Level$120,800 – $151,000
Posted Oct 13, 2026Deadline: Nov 21, 2026
Job SnapshotActively hiring
LocationSan Francisco, California, United States
Job typeFull-time
Salary$120,800 – $151,000
DeadlineNov 21, 2026

Finjobsly Role Intelligence

Experience level
Mid-Level
Work style
Hybrid
Visa sponsorship
Not specified
Salary
$120,800 – $151,000
Key skills
PythonSQLRisk ManagementData EngineeringData ScienceSalesforceTableau

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Finjobsly Intelligence— Generated from the employer's job description

What you'll own

Design, build, and maintain scalable data models, pipelines, and core data tables that serve as the source of truth for analytics across Brex.

What they're looking for

3+ years in data engineering or analytics, strong SQL, Python, Snowflake, Airflow, and experience with data modeling, ETL/ELT, plus solid communication skills.

Why this role matters

The role powers Brex’s AI‑native finance platform by delivering reliable, high‑quality data that enables product, risk, and business teams to make data‑driven decisions.

Best suited to

Candidates who enjoy bridging technical and business needs, thrive in collaborative environments, and are comfortable using modern data tools and agentic AI to streamline pipelines.

Fintech requirements

Visa sponsorship: No
Work arrangement: hybrid

About this role

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.

More about this role

About company

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Brex

See website for more.

Full employer profile →Company website ↗

Required skills

PythonSQLRisk ManagementData EngineeringData ScienceSalesforceTableau

Explore more

More Data Jobs→More jobs at Brex→Python jobs →SQL jobs →Salary benchmarks for this role →Browse all fintech jobs →

Brex

Data Engineer

San Francisco, California, United States$120,800 – $151,000

Company insights

64

Happiness score

64/100

Based on 20 verified employee signals

Capital One completes acquisition of Brex

Capital One completed its cash-and-stock acquisition of Brex on April 7, 2026. The deal was initially valued at $5.15 billion, with CEO Pedro Franceschi continuing to lead Brex.

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Brex COO Camilla Matias steps down

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Brex ships Spring 2026 accounting and card-management release

Brex launched ERP vendor creation, foreign VAT recovery integrations, Microsoft Dynamics 365 connectivity, customizable card programs and new vendor-management tools.

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CEO Pedro Franceschi said Brex grew 49% in August 2025 and was operating-cash-flow positive for the first time in the company's history.

late 2025From the webBrex→

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