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Senior Software Engineer, Data Enablement Platform

Join Brex as a Senior Software Engineer to build and maintain data infrastructure for impactful data-backed products.

Location
San Francisco, California, United States
Compensation
$192k–$240k/yr
Level
senior
Type
full time · Remote OK

AI in the day-to-day

Brex’s AI-native automation eliminates manual expense and accounting tasks for customers.

Requirements

Experience
5+ years

Joblaze summary

In this role, the Senior Software Engineer on the Data Enablement Platform team at Brex focuses on building and maintaining the data infrastructure that supports the company's product offerings. Key skills include experience with data platforms like Snowflake and Kafka, as well as proficiency in Kotlin or similar languages. This position is ideal for seasoned professionals with a strong background in data architecture and backend engineering, who thrive in collaborative environments. Brex emphasizes a culture of innovation and teamwork, making it a dynamic place for engineers to grow.

Joblaze insights

Quick facts

Is the Senior Software Engineer, Data Enablement Platform role remote?
It's hybrid — Brex expects some on-site time in San Francisco, California, United States.
What's the salary range?
Brex lists $192,000–$240,000 for this role.
How much experience is required?
At least 5 years of relevant experience for this Senior Software Engineer, Data Enablement Platform role.
Where is the role based?
Brex is hiring for this position in San Francisco, California, United States.
What's the tech stack?
Joblaze extracted these technologies from the posting: Snowflake, CDC, Kotlin, Airflow, dbt, Flink.
What seniority level is this role?
Brex targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Senior Software Engineer, Data Enablement Platform role at Brex.

From the original posting

Why join us

Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.

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 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.

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 brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.

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