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Mid LevelFull-timePythonData ScienceAI
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Engineer to join our team at Brex. This role involves transforming raw data into actionable insights for various departments across the organization.
Key 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.
- →Maintain data documentation and definitions, ensuring 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.
- →Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives.
Requirements
- ✓3+ years of experience in Data Engineering, Data Analytics, or a related field.
- ✓2+ years of experience working with modern data transformation tools like DBT.
- ✓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.
- ✓Familiarity with BI tools such as Looker, Tableau, or similar platforms is a plus.
- ✓Exceptional quantitative and analytical skills.
- ✓Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.
