Data Engineer — AI-Powered Data Pipelines & Analytics

Brex; California (MO); Hybrid; USD 121,000 - 151,000; Full time

Job summary

Brex is seeking a Data Engineer in a hybrid San Francisco, CA role. You will transform raw data into actionable insights and build scalable data models and pipelines with collaboration across Data Scientists, Analysts, and Business teams.

You will work on core data tables, analytics frameworks, and cross-functional data solutions, leveraging Snowflake, Airflow, and Python. The role offers a competitive salary and equity discussions as part of total compensation.

Qualifications

• 3+ years of experience in data engineering or analytics.
• Strong SQL and database knowledge.
• Experience with Snowflake, Airflow, Python.
• Experience with ETL/ELT and data warehousing.
• Experience with agentic AI.
• Excellent quantitative and analytical skills.
• Strong communication across technical and non-technical stakeholders.

Responsibilities

• Design, build, and maintain data models and pipelines that scale with the growing number of services and products.
• Collaborate with Data Scientists, Data Analysts, and Business teams to translate data needs into scalable solutions.
• Maintain data documentation and source-of-truth tables for data science and reporting.
• Develop integration with various data sources for data-driven initiatives.
• Apply best practices in data management to ensure reliability.
• Set standards for data structure and quality across the company.
• Bridge gaps between technical and non-technical teams to align data solutions with business goals.
• Use agentic AI to speed up pipeline work with validation.

Skills

Python

SQL

Agentic AI

Data analytics

Communication

Tools

Snowflake

Airflow

dbt

Looker

Tableau

Job description

Brex is seeking a Data Engineer in a hybrid San Francisco, CA role. You will transform raw data into actionable insights and build scalable data models and pipelines with collaboration across Data Scientists, Analysts, and Business teams.

You will work on core data tables, analytics frameworks, and cross-functional data solutions, leveraging Snowflake, Airflow, and Python. The role offers a competitive salary and equity discussions as part of total compensation.