Data Engineer San Francisco, California, United States

Brex Inc.; San Francisco (CA); On-site; USD 120,800 - 151,000; Full time

Benefits offered by this job

Up to four weeks of fully remote work

Flexible work environment

Job summary

A leading AI-powered financial technology company in San Francisco seeks a Data Engineer to design and maintain data models and pipelines. Candidates should have over 3 years of relevant experience and advanced SQL knowledge. This pivotal role collaborates with teams to craft data solutions and uphold high data quality standards. The position allows for a hybrid work arrangement with flexible remote options and competitive compensation, reflecting skills and experience.

Qualifications

• 3+ years of experience in Data Engineering, Data Analytics, or a related field.
• 2+ years of experience with modern data transformation tools like DBT.
• Advanced knowledge of databases and SQL.

Responsibilities

• Design, build, and maintain scalable data models and pipelines.
• Collaborate with Data Scientists and Business teams to create data solutions.
• Maintain data documentation and ensure high-quality source-of-truth tables.

Skills

Data modeling

SQL

Data pipeline design

Python

Collaboration

Tools

DBT

Snowflake

Airflow

Looker

Tableau

Job description

### Data Engineer#### San Francisco, California, United StatesData Engineer**Why join us**Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises — including DoorDash, Flexport, and Compass — use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale.Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.**Data at Brex**Our Scientists and Engineers work together to make data — and insights derived from data — a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.**What You’ll Do**As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll 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 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.**Where you’ll work**This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!**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.* 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 such as Analytics Engineering.* 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.**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.*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 domain. Any outreach claiming to be from Brex via other sources should be ignored.*