Data Engineer

Brex

Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CA
Salary
$120,800–$151,000 / yr
Posted
7 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $163k
This role $136k
$111k most similar roles pay here $209k

This role pays less than 64% of similar roles. Most pay $126,800–$198,800 — the shaded band above. At the midpoint, this role pays about $136k versus about $163k for comparable roles.

Based on 240 similar postings.

Employer

About Brex

Brex is a financial technology company providing corporate credit cards, cash management accounts, and expense management software designed specifically for startups and growing technology companies. Industry: Financial Technology & Corporate Banking

Brex currently has 31 open roles on FindRole.

Listed pay typically runs $240,000–$300,000 across 31 roles with salary data.

Most-posted roles

View all roles at Brex

At a glance

TL;DR · Data Engineer

As a Data Engineer at Brex, you will join the Data team to develop and maintain scalable data models and pipelines that transform raw data into actionable insights for various departments. You’ll collaborate with Data Scientists, Software Engineers, and business units to create efficient analytics frameworks and ensure high-quality Core Data tables for analytic applications. Your responsibilities include designing robust data solutions, integrating diverse data sources, maintaining documentation, and setting company-wide standards for data quality and structure. With experience in databases, SQL, ETL/ELT processes, and tools like Snowflake and Airflow, you will leverage Python and agentic AI to enhance pipeline efficiency while ensuring validation. This role requires strong quantitative skills and the ability to bridge technical and non-technical teams, driving data-driven initiatives at a rapidly growing fintech company.

What you'll do

  • Design and maintain scalable data models and pipelines to support company growth.
  • Translate business and technical requirements into efficient data solutions for analytics.
  • Ensure high-quality, curated data sources for data science and reporting applications.
  • Develop integrations with various data sources to enable data-driven initiatives.
  • Apply best practices in data management to ensure reliability across analytics applications.
  • Set and enforce standards for data structure, quality, and expectations company-wide.

What we're looking for

  • 3+ years of experience in Data Engineering or related field
  • Advanced knowledge of databases and SQL for data processing
  • Experience with data modeling, ETL/ELT processes, and data warehousing
  • Familiarity with data workflow orchestrators like Airflow and data warehouses like Snowflake
  • Programming skills in Python and experience with agentic AI
  • Strong quantitative and analytical skills
  • Excellent communication and collaboration abilities across technical and non-technical teams

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