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 financial 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 consumers. 

What you’ll do

This position is on our Data Enablement Platform team. The Brex product requires a huge amount of data to power our client experiences. With a largely async architecture, proliferation of services and multiple operations systems, this data originates from many different sources and in different forms. To ensure that our product experience is unbounded in how it leverages this data, the Data Enablement Platform team owns and operates the systems required to deliver it to our clients, and partners with them to create impactful data-backed products.  As a DEP team member you will help build Brex’s Data Infrastructure and also work across the entire data stack to help product teams build data backed products.

Responsibilities

• Build, improve, and maintain Brex’s data platform and infrastructure: data warehouse & analytics, data streaming, replication and materialization, data orchestration, data observability, access & governance.
• Partner with Brex’s product teams, data science and analytics teams to help them launch superior products backed by data insights.
• Level up the data competency at Brex through partnership and education.
• Invest in building resilient data architectures, participate in on-call rotations, and continuously improve our operational efficiency.

Requirements

• 5+ years of professional experience in a data infra or data platform role
• Experience with one or more of Snowflake, Flink, Airflow, dbt, CDC
• Fluency in Kotlin or Kotlin like development languages such as Python
• Experience building and maintaining large-scale modern data stack
• Experience with streaming infra like Kafka
• Experience in backend engineering or full-stack development
• Strong communication and collaboration skills, especially working across team boundaries and building XFN relationships
• Must be willing to work in office 3 days a week on Mondays, Wednesdays and Fridays

Bonus points

• Experience collaborating with product teams or building full-stack data backed products
• Experience with data architecture and data strategy

Compensation:

The expected salary range for this role is $192,000-$240,000 USD. 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.