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

Given a table called <code>employees</code>, get the largest salary of any employee by department

Example:

Input:

<code>employees</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>department</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>department</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>largest_salary</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>

Write a query to get the largest salary of any employee by department

Largest Salary by Department

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

Brex Data Engineer Interview Questions

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.<h3>Data at Brex</h3>Our Scientists, Analysts, 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 policies, and the unparalleled experience we provide our consumers.<h3>What you’ll do</h3>As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications.<h3>Responsibilities</h3><ul><li>Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company.</li><li>Collaborate closely with Data Scientists, BI Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation.</li><li>Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications.</li><li>Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company.</li><li>Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.</li><li>Set and proliferate company-wide standards for data relating to structure, quality, and expectations.</li><li>Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives.</li></ul><h3>Requirements</h3><ul><li>3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.</li><li>2+ years of experience working with modern data transformation tools like DBT.</li><li>Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data.</li><li>Experience integrating and orchestrating data workflows with various modern data tools and systems.</li><li>Experience with data modeling, ETL/ELT processes, and data warehousing solutions.</li><li>Experience working with a data warehouse such as Snowflake.</li><li>Experience with a data workflow orchestrator tool such as Airflow.</li><li>Experience with a programming language such as Python.</li><li>Familiarity with BI tools such as Looker, Tableau, or similar platforms is a plus.</li><li>Exceptional quantitative and analytical skills.</li><li>Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.</li><li>Must be willing to work in office 2 days per week on Wednesday and Thursday.</li></ul><h3>Compensation</h3>The expected salary range for this role is $120,800 - $151,000. 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.
#J-18808-Ljbffr

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. Data at Brex Our Scientists, Analysts, 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 policies, and the unparalleled experience we provide our consumers. What you’ll do As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications. Responsibilities <ul><li>Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company. </li><li>Collaborate closely with Data Scientists, BI Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation. </li><li>Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications. </li><li>Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company. </li><li>Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications. </li><li>Set and proliferate company-wide standards for data relating to structure, quality, and expectations. </li><li>Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives. </li> </ul>Requirements <ul><li>3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering. </li><li>2+ years of experience working with modern data transformation tools like DBT. </li><li>Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data. </li><li>Experience integrating and orchestrating data workflows with various modern data tools and systems. </li><li>Experience with data modeling, ETL/ELT processes, and data warehousing solutions. </li><li>Experience working with a data warehouse such as Snowflake. </li><li>Experience with a data workflow orchestrator tool such as Airflow. </li><li>Experience with a programming language such as Python. </li><li>Familiarity with BI tools such as Looker, Tableau, or similar platforms is a plus. </li><li>Exceptional quantitative and analytical skills. </li><li>Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical. </li><li>Must be willing to work in office 2 days per week on Wednesday and Thursday. </li> </ul>Compensation The expected salary range for this role is $120,800 - $151,000. 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. #J-18808-Ljbffr

Data at BrexOur Scientists, Analysts, 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 policies, and the unparalleled experience we provide our consumers.What you’ll doAs a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications.Responsibilities<ul><li>Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company.</li><li>Collaborate closely with Data Scientists, BI Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation.</li><li>Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications.</li><li>Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company.</li><li>Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.</li><li>Set and proliferate company-wide standards for data relating to structure, quality, and expectations.</li><li>Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives.</li></ul>Requirements<ul><li>3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.</li><li>2+ years of experience working with modern data transformation tools like DBT.</li><li>Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data.</li><li>Experience integrating and orchestrating data workflows with various modern data tools and systems.</li><li>Experience with data modeling, ETL/ELT processes, and data warehousing solutions.</li><li>Experience working with a data warehouse such as Snowflake.</li><li>Experience with a data workflow orchestrator tool such as Airflow.</li><li>Experience with a programming language such as Python.</li><li>Familiarity with BI tools such as Looker, Tableau, or similar platforms is a plus.</li><li>Exceptional quantitative and analytical skills.</li><li>Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.</li><li>Must be willing to work in office 2 days per week on Wednesday and Thursday.</li></ul>CompensationThe expected salary range for this role is $120,800 - $151,000. 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.
#J-18808-Ljbffr

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. Data at Brex Our Scientists, Analysts, 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 policies, and the unparalleled experience we provide our consumers. What you'll do As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications. Responsibilities <ul> <li>Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company. </li><li>Collaborate closely with Data Scientists, BI Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation. </li> <li>Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications. </li> <li>Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company. </li><li>Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications. </li><li>Set and proliferate company-wide standards for data relating to structure, quality, and expectations. </li><li>Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives. </li></ul>Requirements <ul> <li>3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering. </li><li>2+ years of experience working with modern data transformation tools like DBT. </li><li>Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data. </li><li>Experience integrating and orchestrating data workflows with various modern data tools and systems. </li><li>Experience with data modeling, ETL/ELT processes, and data warehousing solutions. </li><li>Experience working with a data warehouse such as Snowflake. </li><li>Experience with a data workflow orchestrator tool such as Airflow. </li><li>Experience with a programming language such as Python. </li> <li>Familiarity with BI tools such as Looker, Tableau, or similar platforms is a plus. </li><li>Exceptional quantitative and analytical skills. </li><li>Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical. </li><li>Must be willing to work in office 2 days per week on Wednesday and Thursday. </li></ul> Compensation The expected salary range for this role is $120,800 - $151,000. 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

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 New York City 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
Design and build robust platforms and tools to accelerate Brex product development
Own and maintain critical API infrastructure serving hundreds of requests per second
Identify and implement reliability and performance improvements in our backend stack
Uphold our high engineering standards and bring consistency to the codebases, infrastructure, and processes you will encounter
Requirements     5+ years of professional experience in a software engineering role
GraphQL experience, especially familiarity with Federated GraphQL
Kotlin background (Java and Scala are also acceptable)
Kubernetes familiarity
Platform or Full-Stack development background
Strong communication, interpersonal, and project planning skills
Must be willing to work in office 2 days per week on Wednesday and Thursday
Bonus points     Experience working with Bazel; bonus points if you've written rules or maintained Bazel as a platform
Extensive experience with other multi-language build systems
Golang experience, especially building CLIs
Experience extending IDEs

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 looking for folks with an interest in the authentication and authorization space. You will be building customer-facing products that will drive direct business impact and shape the security of the Brex platform for customers. 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 and prepare for the new markets we are about to enter.

Where you'll work

This role will be based in our New York City 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
Design and build strong, resilient, and robust APIs, libraries, and tools to power our authentication and authorization infrastructure
Be responsible for the full software development lifecycle: design, development, testing, and operating in production
Work cross functionally with product, design, and other engineering teams to build customer features
Occasionally work on-call shifts, responding to customer support requests
Requirements     5+ years of experience working as a software engineer
Knowledge of authentication and authorization topics (OAuth, SSO, RBAC, ABAC, etc.)
Experience working with backend programming languages (Java, Kotlin, Python)
Experience building scalable systems in a microservices environment
Experience working with SQL databases
Familiarity with all aspects of the software development life cycle
Strong communication and interpersonal skills
English proficiency/fluency, both written and speaking (note: interviews will be conducted in English)
Bonus points     Golang or Kotlin experience
Experience with Identity as a Service with Okta
Experience with authorization providers and frameworks (Zanzibar)

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 looking for folks with an interest in building products and tools, who are comfortable dealing with a lot of moving pieces. You will be building customer-facing products that will drive direct business impact and shape our long-term technical vision with a high-quality bar. 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 and prepare for the new markets we are about to enter.

Where you'll work

This role will be based in our New York City 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
Design and build strong, resilient, and robust APIs, libraries, and tools to power Brex engineers and operations
Own functionality and scalability features by taking responsibility from inception to deployment
Be responsible for full software development lifecycle: design, development, testing, and operating in production
Uphold our high engineering standards and bring consistency to the codebases, infrastructure, and processes you will encounter
Requirements     3+ years of experience working as a software engineer
Experience creating libraries and tools for engineers and operations
Experience building and designing scalable backend systems
Experience working with SQL or NoSQL databases
Familiarity with software engineering development cycles
Experience working with backend programming languages (Java, Kotlin, Python)
Ability to hold yourself and the team to high standards
Strong communication and interpersonal skills
English proficiency/fluency, both written and speaking (note: interviews will be conducted in English)
Must be willing to work in office 2 days per week on Wednesday and Thursday
Bonus points     Experience collaborating with experts in product, design, and operations
Familiarity with functional programming languages
Strong writing skills
Proactive approach

Compensation

The expected salary range for this role is $152,000 - $190,000. 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 recruiters will only contact you via LinkedIn or a brex.com email address. If someone claiming to be from Brex contacts you in another way, it may be a scam and should be ignored.We dream big, in life and at workHelping our customers reach their full potential starts with helping our team reach theirs.Our Values One Brex We focus on what unites us. We optimize for Brex above any individual and leverage the collective genius.Ownership We take our results personally, and we deliver at the highest standards, with integrity, despite the odds.Growth mindset We have the discipline to seek the truth, humility to know we can improve, and curiosity to learn.Benefits of BrexHealth, dental, and vision; One Medical; Spring Health mental wellbeing; Calm Membership.MoneyCompetitive compensation with an annual comp cycle, equity, 401(k) plan, and more.RestGenerous PTO if full time, paid holidays, company weeks off, and parental leave.HybridDesignated in-office collaboration days, lunches and events, team and company offsites, 4 fully remote weeks, commuter benefits and a monthly stipend.Diversity, equity, and inclusionBrex empowers every employee to reach their full potential, regardless of race, gender, ethnicity, sexual orientation, or background.Having candid conversations about race helps us close gaps and create a cohesive culture where backgrounds and experiences are better understood and welcomed.We are increasing awareness of differing experiences through Cultural Heritage Months, company events, and comprehensive diversity training.Our openingsJoin us and empower the next generation of business.To view our applicant privacy policy, click here.#J-18808-Ljbffr

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. Were 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 youll do
Our team is responsible for building, maintaining and monitoring the infrastructure platform which other teams use to build and operate Brexs products. We must also evangelize for, and educate other teams about our infrastructure, and best practices for running their services on top of it.
This includes working with our Cloud Provider to engineer the compute, data storage, and networking functionality for our customers and other critical cloud-based infrastructure components.
As were operating at the most foundational levels of Brex, our teams work has a cascading effect on the entire company. We must always strive to look holistically at Brexs architecture to uncover areas of optimization, reliability, and drive efficiency.
Responsibilities
Work within and across product engineering teams to determine requirements and challenges to managing their data stores.
Leverage your expertise in databases along with your skills as a developer to write systems that mitigate or surface metrics around database problems.
Mentor database users on good modeling techniques and query practices on an as-needed basis.
Perform or advise tactical solutions to challenges while maintaining service reliability.
Be part of an On-Call rotation for responding to incidents.
Operate core systems of Brex Infrastructure to ensure the highest levels of reliability.
Work closely with other engineers to design, operate, and scale their systems.
Evangelize best practices both internally and externally.
Requirements
You have experience in database modeling, operation, and administration with common open-source technologies such as PostgreSQL.
2+ years of experience working in AWS or equivalent cloud provider.
1+ year of experience working with Kubernetes environments.
Experience working with at least one programming language (e.g. Golang, Java, Python).
Strong communication (written and verbal) and interpersonal skills.
Have an interest adjacent to issues such as compliance, confidentiality, and security.
Be capable of discussing thorny issues of concurrency and correctness.
Compensation
The expected salary range for this role is $152,000 - $190,000. However, the starting base pay will depend on a number of factors including the candidates 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.
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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. Were 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 BrexThe 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 youll doOur team is responsible for building, maintaining and monitoring the infrastructure platform which other teams use to build and operate Brexs products. We must also evangelize for, and educate other teams about our infrastructure, and best practices for running their services on top of it.This includes working with our Cloud Provider to engineer the compute, data storage, and networking functionality for our customers and other critical cloud-based infrastructure components.As were operating at the most foundational levels of Brex, our teams work has a cascading effect on the entire company. We must always strive to look holistically at Brexs architecture to uncover areas of optimization, reliability, and drive efficiency.ResponsibilitiesWork within and across product engineering teams to determine requirements and challenges to managing their data stores.Leverage your expertise in databases along with your skills as a developer to write systems that mitigate or surface metrics around database problems.Mentor database users on good modeling techniques and query practices on an as-needed basis.Perform or advise tactical solutions to challenges while maintaining service reliability.Be part of an On-Call rotation for responding to incidents.Operate core systems of Brex Infrastructure to ensure the highest levels of reliability.Work closely with other engineers to design, operate, and scale their systems.Evangelize best practices both internally and externally.RequirementsYou have experience in database modeling, operation, and administration with common open-source technologies such as PostgreSQL.2+ years of experience working in AWS or equivalent cloud provider.1+ year of experience working with Kubernetes environments.Experience working with at least one programming language (e.g. Golang, Java, Python).Strong communication (written and verbal) and interpersonal skills.Have an interest adjacent to issues such as compliance, confidentiality, and security.Be capable of discussing thorny issues of concurrency and correctness.CompensationThe expected salary range for this role is $152,000 - $190,000. However, the starting base pay will depend on a number of factors including the candidates 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.#J-18808-Ljbffr

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