Senior Data Infrastructure Specialist
4 days ago
**Unlock Your Potential at Brex**
Brex is the AI-powered spend platform that helps companies spend with confidence. With our integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses, we empower businesses to take control of their spend, reduce costs, and increase efficiency on a global scale.
Our Data Engineers play a critical role in developing infrastructure, statistical models, and products using financial data. They work closely with Data Scientists, BI Analysts, and Business teams to create efficient data models, pipelines, and analytics frameworks that drive business growth.
**Key Responsibilities**
- Design and implement scalable data models and pipelines that meet the growing needs of our services, products, and company changes.
- Collaborate with cross-functional teams to understand data needs and translate them into robust, efficient, and scalable data solutions.
- Maintain high-quality data documentation and definitions, ensuring accurate data delivery for data science and reporting applications.
- Develop and integrate data sources to enable more data-driven initiatives across the company.
- Apply data management best practices to ensure reliable and robust data usage across analytics applications.
- Establish and promote company-wide data standards relating to structure, quality, and expectations.
- Facilitate collaboration between technical and non-technical teams to ensure data solutions align with business objectives.
**Requirements and Qualifications**
- Minimum 3 years of experience in Data Engineering, Data Analytics, or a related field.
- Proven experience working with modern data transformation tools like DBT.
- Detailed 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.
- Background in data modeling, ETL/ELT processes, and data warehousing solutions.
- Hands-on experience with a data warehouse such as Snowflake.
- Proficiency in a data workflow orchestrator tool such as Airflow.
- Programming skills in languages like Python.
- Familiarity with BI tools like Looker, Tableau, or similar platforms.
- Superb quantitative and analytical skills.
- Excellent communication and collaboration skills.
- Will to work in an office environment 2 days a week on Wednesday and Thursday.
**Compensation Package:** Estimated salary range of $120,800 - $151,000, depending on factors like location, skills, experience, and market demands. Equity and other forms of compensation may be included based on the position offered.
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