Data Engineer

Brex

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CA
Salary
$120,800–$151,000 / yr
Posted
13 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $164k
This role $136k
$111k $210k
below market most similar roles pay here above market

This role pays less than 64% of similar roles. Most pay $126,800–$200,500 — the blue band above. At the midpoint, this role pays about $136k versus about $164k 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 83 open roles on FindRole.

Listed pay typically runs $192,000–$240,000 across 79 roles with salary data.

Most-posted roles

View all roles at Brex

At a glance

TL;DR · Data Engineer

JOB TITLE: Data Engineer As a Data Engineer, you will join the Data team to transform raw data into actionable insights for various departments. You will collaborate with Data Scientists, Software Engineers, and business units to design, build, and maintain scalable data models, pipelines, and analytics frameworks. Your daily work involves maintaining Core Data tables, ensuring high-quality source-of-truth documentation, and developing integrations with diverse data sources. You will apply best practices in data management to ensure reliability across analytics applications while setting company-wide standards for data structure and quality. The role requires advanced SQL, database knowledge, and experience with Python, Snowflake, and Airflow. You will also utilize agentic AI to accelerate pipeline work. This position solves the technical challenge of creating robust infrastructure for predictive analytics and metrics formulation.

What does a Data Engineer earn in California?

Median $187628 from 42 postings across 22 companies.

See salary data

What you'll do

  • Design, build, and maintain scalable data models and pipelines to support growing company services.
  • Translate business requirements from stakeholders into robust, efficient, and scalable data solutions.
  • Maintain data documentation and definitions to ensure high-quality source-of-truth tables.
  • Develop and enable integrations with various data sources to support company-wide initiatives.
  • Apply data management best practices to ensure the reliability of data used in analytics applications.
  • Establish and proliferate company-wide standards for data structure, quality, and expectations.
  • Use agentic AI to accelerate pipeline development and quality work while maintaining strict validation.

What we're looking for

  • 3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.
  • Advanced knowledge of databases and SQL to efficiently stage, process, and transform data.
  • 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.
  • Familiarity with BI tools such as Looker or Tableau (preferred).

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