Data Engineer
Brex · Finance
- Location
- San Francisco, California, United States
- Metro
- San Francisco Bay Area
- Workplace
- Hybrid
- Level
- Mid-level
- Type
- Unspecified
- Pay
- $121K–$151K/yr (estimated from posting text)
- Posted
- 10 months ago
- Source
- Greenhouse
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What the posting covers
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…
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…
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…
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…
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…
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…
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…
Excerpts only. The employer’s page has the complete posting.