Software Engineer, Data Enablement Platform

Engineering at Brex

The Engineering team includes Data, IT, Security, and Software, and is responsible for building innovative products and infrastructure for both internal and external users. We have multiple autonomous and collaborative teams who are eager to learn, teach, and constantly improve how things work. Together, we strive to build robust and scalable systems that enable Brex to grow rapidly and help our customers reach their full potential.

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.

Where you’ll work

This role will be based in our San Francisco office. You must be willing to work in office at least 2 days per week on Wednesday and Thursday, starting the week of January 6th, 2025. Employees will be able to work remotely for up to 4 weeks per year, for a minimum of one week at a time.

Responsibilities

• Build, improve and maintain Brex’s data platform and infrastructure: data warehouse & analytics (Snowflake), data streaming (Kafka), replication (CDC) and materialization (Flink), data jobs orchestration (Airflow), 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

• 1-3 years of professional experience in a data infra or data engineering role
• Fluency in Kotlin or Kotlin-like development languages, Python
• Experience building and maintaining data infrastructure: warehousing, data replication, and ETL pipelines
• 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 2 days per week on Wednesday and Thursday

Bonus points

• Experience with any of Snowflake, Flink, Airflow, dbt 
• Experience collaborating with product teams or building full-stack data-backed products