Data Engineer
Brex - San Francisco, CA
Hiring: Data Engineer Company: Brex Location: San Francisco, CA Job Posted Time: 2026-09-10 11:55:05 Employment Type: Remote Target Skills & Keywords : Airflow, Data Warehouse, ELT, ETL, Python, Risk Management, SQL, Salesforce, Snowflake, Zoom, dbt About the job Experience: •3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering. Required Skills: •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 them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation. •Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications. •Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company. •Set and proliferate company-wide standards for data relating to structure, quality, and expectations. •Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives. •Use agentic AI where it speeds up pipeline and quality work, without skipping validation. Qualifications: •Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data. •Exceptional quantitative and analytical skills. •Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical. •Operational 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 definitions. Compensation: •$120,800 - $151,000 / year •Flexible work environment (work from home / hybrid options) •Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!