Data Engineer
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 and finance teams to accelerate operations, gain re
What this role actually needs.
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 and finance teams to accelerate operations, gain re 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 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. - Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications. - Set and proliferate company-wide standards for data relating to structure, quality, and expectations. 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. Benefits: - 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. - Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications. - Set and proliferate company-wide standards for data relating to structure, quality, and expectations. Company context: Brex is the spend platform combining corporate cards, expense management, banking, and bill pay for growing companies.
Day-to-day expectations
Brex lists these responsibilities for the Data Engineer role.
- 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.
- Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.
- Set and proliferate company-wide standards for data relating to structure, quality, and expectations.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- 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.
Why people would want this job
Brex published these compensation, benefits, or working-context details with the role.
- 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.
- Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.
- Set and proliferate company-wide standards for data relating to structure, quality, and expectations.
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- Compensation is hidden, so get range clarity in the first recruiter conversation.
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Source: brex.com · Source ID: 8366850002 · Confidence: 88/100 · Last checked: May 7, 2026
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