Data Infrastructure Engineer - Data Platform

Brex is the intelligent finance platform that enables companies to spend smarter and move faster across more than 200 markets. Combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex eliminates manual expense and accounting tasks for tens of thousands of top businesses, including DoorDash, Coinbase, Robinhood, and Reddit.

This position sits on the Data Enablement Platform (DEP) team. The Brex product requires immense data scale to power customer experiences across an asynchronous, multi-service architecture. The DEP team owns and operates the core data infrastructure required to ingest, orchestrate, replicate, and deliver data across Brex, partnering with product teams to build high-impact, data-backed financial capabilities.

Key Responsibilities

• Data Platform & Infrastructure: Build, scale, and maintain Brex’s core data infrastructure—spanning data warehousing, analytics, streaming pipelines, replication/materialization, data orchestration, observability, access control, and governance.
• Product Collaboration: Partner closely with Product, Data Science, and Analytics engineering teams to launch data-backed product features and actionable financial insights.
• Data Competency & Education: Level up data architecture standards and engineering practices across the organization through cross-functional mentorship and collaboration.
• Operational Excellence: Invest in building resilient data architectures, participate in team on-call rotations, and continuously improve pipeline reliability and operational efficiency.

Requirements

Experience & Education

• 3+ years of professional experience in a Data Infrastructure, Data Platform, or Software Engineering role with a data focus.
• Experience building, operating, and maintaining a large-scale modern data stack.

Technical Skills

• Hands-on experience with modern data infrastructure tools such as Snowflake, Apache Flink, Apache Airflow, dbt, or Change Data Capture (CDC).
• Proficiency in Kotlin or Kotlin-like languages (such as Python).
• Experience with real-time streaming infrastructure, specifically Apache Kafka.
• Strong background in backend software engineering or full-stack application development.

Collaboration & Schedule

• Strong communication and cross-functional collaboration skills across engineering boundaries.
• Ability and willingness to work in-office 3 days per week (Mondays, Wednesdays, and Fridays).

Nice to Have

• Experience collaborating with product development teams to build full-stack data-backed products.
• Experience driving high-level data architecture and long-term enterprise data strategy.

Compensation & Benefits

• Base Salary: $152,000 – $190,000 USD (commensurate with location, skills, and experience).
• Equity & Total Rewards: Equity options and comprehensive financial benefits.
• Tools & Support: Access to modern developer tooling, career development resources, and learning opportunities.