The Brex Data Engineer interview guide, interview questions, salary data, and interview experiences.

Brex Data Engineer Interview Guide

Getting ready for an Data Engineer interview at Brex? The Brex Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Brex Data Engineer roles.</li>
<li>Gain insights into the Data Engineer interview process at Brex.</li>
<li>Practice real Brex Data Engineer interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Brex Data Engineer interview.


Getting ready for an Data Engineer interview at Brex? The Brex Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Brex Data Engineer roles.
- Gain insights into the Data Engineer interview process at Brex.
- Practice real Brex Data Engineer interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Brex Data Engineer interview.
        

Overview

Brex Data Engineer Salary

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Brex Data Engineer Interview Process

You’re tasked with designing a database system for Swipe Inc., a company that manages payments for software developers. Swipe manages a set of APIs so developers can abstract payment processes for their web service and transfer control over to Swipe’s APIs to manage payment security and finance handling (contacting credit card providers, etc.)

Your database system should store a collection of API keys with their attributes, as shown in the example below:

<pre tabindex="0" class="chroma"><code>{
 &#34;API_key&#34;:{
 &#34;Transaction_list&#34;:{
 &#34;User_ID&#34;:{
 &#34;Name&#34;:{
 &#34;f_name&#34;: 
 &#34;l_name&#34;: 
 }
 &#34;Card_Details&#34;:{
 &#34;Bank&#34;:
 &#34;Card_No&#34;:
 &#34;Expiry&#34;:
 &#34;CV&#34;:
 } 
 }
 }
 &#34;Curr_balance&#34;:
 }
}
</code></pre>

What are the functional and non-functional requirements for this database?

Determine the requirements for designing a database system to store payment APIs

Swipe Payment API

You are given a dictionary with a key-value of <code>{string: number}</code> where values in the dictionary could be duplicates. You are required to extract the unique values from the dictionary where the value occurred only once.

Return a list of values where they occur only once.

Note: You can return the values in any order.

Input:

<pre tabindex="0" class="chroma"><code>dictionary = {&#34;key1&#34;: 1, &#34;key2&#34;: 1, &#34;key3&#34;: 7, &#34;key4&#34;: 3, &#34;key5&#34;: 4, &#34;key6&#34;: 7}
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>find_unique_values(dictionary) -&gt; [3,4]

#Only 3 and 4 occurred once.
</code></pre>

Dictionary Unique Values

You’re given a dataframe of students named <code>students_df</code>:

<code>students_df</code> table

<table>
<thead>
<tr>
<th>name</th>
<th>age</th>
<th>favorite_color</th>
<th>grade</th>
</tr>
</thead>

<tbody>
<tr>
<td>Tim Voss</td>
<td>19</td>
<td>red</td>
<td>91</td>
</tr>

<tr>
<td>Nicole Johnson</td>
<td>20</td>
<td>yellow</td>
<td>95</td>
</tr>

<tr>
<td>Elsa Williams</td>
<td>21</td>
<td>green</td>
<td>82</td>
</tr>

<tr>
<td>John James</td>
<td>20</td>
<td>blue</td>
<td>75</td>
</tr>

<tr>
<td>Catherine Jones</td>
<td>23</td>
<td>green</td>
<td>93</td>
</tr>
</tbody>
</table>
Write a function named <code>grades_colors</code> to select only the rows where the student’s favorite color is green or red and their grade is above 90.

Example:

Input:

<pre tabindex="0" class="chroma"><code>import pandas as pd

students = {&#34;name&#34; : [&#34;Tim Voss&#34;, &#34;Nicole Johnson&#34;, &#34;Elsa Williams&#34;, &#34;John James&#34;, &#34;Catherine Jones&#34;], &#34;age&#34; : [19, 20, 21, 20, 23], &#34;favorite_color&#34; : [&#34;red&#34;, &#34;yellow&#34;, &#34;green&#34;, &#34;blue&#34;, &#34;green&#34;], &#34;grade&#34; : [91, 95, 82, 75, 93]}

students_df = pd.DataFrame(students)
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def grades_colors(students_df) -&gt;
</code></pre>

<table>
<thead>
<tr>
<th>name</th>
<th>age</th>
<th>favorite_color</th>
<th>grade</th>
</tr>
</thead>

<tbody>
<tr>
<td>Tim Voss</td>
<td>19</td>
<td>red</td>
<td>91</td>
</tr>

<tr>
<td>Catherine Jones</td>
<td>23</td>
<td>green</td>
<td>93</td>
</tr>
</tbody>
</table>

Write a function to select only the rows where the student's favorite color is green or red and their grade is above 90.

Good Grades and Favorite Colors

Brex Data Engineer Interview Questions

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. 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 The Application Infrastructure team sits in the Infrastructure group alongside Release Infrastructure and Cloud Infrastructure. We simplify writing code for every product developer at Brex. As an engineer on the Application Infrastructure team, you will build and own a suite of platforms and tools that Product Engineers use to deliver quality software solutions quickly. You will have the opportunity to work with a diverse range of technologies enabling federated GraphQL APIs, remote development environments, pre-merge testing, Brex-wide dependency management, fast Kotlin builds, developer CLIs, and more. You will be a domain expert and change agent taking our Federated GraphQL platform to the next level. You'll see the big picture of how Brex developers use GraphQL to build products, and utilize GraphQL's open source and vendor ecosystem to enable Brex devs to ship better products faster. You will need to be comfortable regularly working on complex systems across multiple programming languages and levels of abstraction. You will have the opportunity to learn and push the frontier of providing the best financial software experience to help companies grow. You will be encouraged to be metric and data-driven and to think creatively to help Brex scale into new markets and verticals. 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 <ul><li>Design and build robust platforms and tools to accelerate Brex product development</li><li>Own and maintain critical API infrastructure serving hundreds of requests per second</li><li>Identify and implement reliability and performance improvements in our backend stack</li><li>Uphold our high engineering standards and bring consistency to the codebases, infrastructure, and processes you will encounter </li></ul> Requirements <ul><li>5+ years of professional experience in a software engineering role</li><li>GraphQL experience, especially familiarity with Federated GraphQL</li><li>Kotlin background (Java and Scala are also acceptable)</li><li>Kubernetes familiarity</li><li>Platform or Full-Stack development background</li><li>Strong communication, interpersonal, and project planning skills</li><li>Must be willing to work in office 2 days per week on Wednesday and Thursday</li></ul> Bonus points <ul><li>Experience working with Bazel; bonus points if you've written rules or maintained Bazel as a platform</li><li>Extensive experience with other multi-language build systems</li><li>Golang experience, especially building CLIs</li><li>Experience extending IDEs</li></ul> Compensation The expected salary range for this role is $192,000 - $240,000. 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 brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.

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. 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 We are seeking individuals passionate about building data-driven systems to manage risk at scale. You will have significant exposure to every aspect of financial crime prevention, from building customer-facing experiences to working closely with data scientists to seamlessly integrate models into production. As Risk services interface with multiple systems across Brex, excellent interpersonal and written communication skills are essential. You will be working on high-impact projects requiring high development standards, handling and upkeeping the integrity of sensitive data, and ensuring compliance while driving monetary outcomes. In this role, you'll gain specialized knowledge in risk management and contribute to building the most beloved financial services and softwares, all while safeguarding our customers, our platform, and the integrity of the financial market. 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 <ul><li>Ensure that the data for our decisioning systems is always of the highest quality, utilizing best-in-class services (risk vendors and internal models) to provide actionable insights that drive risk management and customer experience improvements</li><li>Develop low-latency decision systems for assessing risk during customer onboarding, payments, authentication, and in-app</li><li>Build in-product levers that enhance our decisioning systems while striving to make risk management invisible</li><li>Build systems and tools for comprehensive customer due diligence, including KYC, sanctions, adverse media, PEP, and AML monitoring</li></ul> Requirements <ul><li>4+ years of professional experience in a software engineering role or equivalent experience </li><li>Strong fundamental knowledge in at least one of the following: machine learning theory or systems </li><li>Experience building and designing scalable decisioning systems </li><li>Experience working with backend programming languages (Kotlin, Python)</li><li>Ability to hold yourself and the team to high standards</li><li>Strong communication and interpersonal skills</li><li>Must be willing to work in office 2 days per week on Wednesday and Thursday </li></ul> Bonus points <ul><li>Publications or contributions to open-source projects related to data-intensive systems.</li><li>Familiarity with algorithms for decision-making under uncertainty, including Bayesian networks, Markov decision processes, or reinforcement learning</li></ul> Compensation The expected salary range for this role is $192,000 - $240,000. 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 brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.

Brex Data Engineer Interview Guide

Overview

Brex Data Engineer Salary

Brex Data Engineer Interview Process

Brex Data Engineer Interview Questions

Brex Data Engineer Jobs