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Brex

Data Engineer

San Francisco, California, United States$120.8k–$151kmidAdded 1 month ago

About this role

Brex seeks a Data Engineer to build scalable data pipelines and models that transform raw data into actionable insights across the organization. You'll collaborate with data scientists and business teams to design efficient data solutions, maintain high-quality data infrastructure, and establish company-wide data standards while working hybrid in San Francisco.

What you'll do

  • Design, build, and maintain scalable data models and ETL/ELT pipelines as the company grows
  • Collaborate with Data Scientists, Analysts, and Business teams to translate data needs into robust solutions
  • Maintain data documentation and ensure source-of-truth tables remain high quality
  • Develop integrations with various data sources to enable data-driven initiatives
  • Set and promote company-wide standards for data structure, quality, and expectations
  • Bridge technical and non-technical teams to align data solutions with business objectives

What they're looking for

  • SQL and database design
  • Data modeling and ETL/ELT processes
  • Python programming
  • Snowflake or similar data warehouse platforms
  • Workflow orchestration tools (e.g., Airflow)
  • Agentic AI
  • Communication and stakeholder collaboration
  • Data quality and validation practices

Benefits

  • Hybrid work arrangement (3 days in-office: Mon/Wed/Thu)
  • Up to 4 weeks fully remote work per year
  • Competitive salary ($120,800 - $151,000)
  • Opportunity to work with cutting-edge data technology
  • Collaboration with top talent and industry-leading companies
  • Career growth and development support
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Brex

Brex builds mission-critical financial infrastructure and credit decisioning systems that power banking and spending management for companies globally. The company is hiring Backend Software Engineers II to develop scalable systems including underwriting engines, real-time data pipelines, and ML-powered credit models across 200+ markets.

Website
brex.com
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Likely interview questions

  • Walk us through your experience designing and maintaining data pipelines at scale. What challenges did you face with data models as the company or data volume grew, and how did you address them?
  • Describe your hands-on experience with Snowflake and Airflow. How have you used these tools together to build reliable ETL/ELT workflows?
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