Data Engineer
$121k - $151k • San Francisco, California, United States
Posted 4d ago
Job Location
San Francisco, California, United States
Tech Stack
Remote Work Policy
On-site
Categories
Applied AI Engineer
About the job
Brex is seeking a Data Engineer to join their intelligent finance platform. In this role, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You will collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You will also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry.
Responsibilities
- Design, build, and maintain scalable data models and pipelines.
- Collaborate with Data Scientists, Data Analysts, and Business teams to translate data needs into robust data solutions.
- Maintain data documentation and definitions to ensure high-quality source-of-truth tables.
- Develop and enable integration with various data sources for data-driven initiatives.
- Apply best practices in data management for reliability and robustness.
- Set and proliferate company-wide data standards for structure, quality, and expectations.
- Act as a liaison between technical and non-technical teams to align data solutions with business objectives.
- Utilize agentic AI to accelerate pipeline and quality work, ensuring validation.
Requirements
- 3+ years of experience in Data Engineering, Data Analytics, or a related field.
- Advanced knowledge of databases and SQL for data staging, processing, and transformation.
- Experience integrating and orchestrating data workflows with modern data tools.
- Experience with data modeling, ETL/ELT processes, and data warehousing solutions.
- Experience with data warehouses such as Snowflake.
- Experience with data workflow orchestrator tools such as Airflow.
- Experience with a programming language such as Python.
- Experience with agentic AI.
- Exceptional quantitative and analytical skills.
- Strong communication and collaboration skills with technical and non-technical stakeholders.
Benefits
- Equity and other forms of compensation may be provided as part of a total compensation package.