Data Engineer

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 data workflows with various modern data tools and systems. 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. Exceptional quantitative and analytical skills. Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical. 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 definitions. Experience with Salesforce data integration. 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 offered, equity and other forms of compensation may be provided as part of a total compensation package. Brex LLC is a wholly owned subsidiary of Capital One, N.A. Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.