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’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. Applied AI at Brex As part of Brex’s AI team, Applied AI leverages cutting-edge AI/ML techniques to empower automation solutions in Brex’s spend management offering, working closely with Product, Design, and Engineering teams. What You’ll Do The Applied AI team drives for a more streamlined experience for our customers via AI/ML automations. We are looking for a strong Data Scientist to join our nimble and effective team. You will be responsible for the full cycle of work from ideation, research, and development to production and further improvements, working both strategically and tactically with cross-functional stakeholders to balance priority and delivery. Responsibilities <ul><li>Design and implement spend management related solutions with ML and AI techniques </li><li>Partner closely with Product Managers, Designers, and Engineers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process</li><li>Consult and educate internal teams on current and up-and-coming research, technologies, and best practices of leveraging ML and LLM in product design and development </li><li>Work closely with AI Platform engineers to identify upcoming requirements and continuously evolve the AI platform offering </li></ul>Requirements <ul><li>4+ years of industry experience developing optimization models that drive business impact</li><li>Passion for delivering data-driven solutions leveraging data, ML, and AI</li><li>M.S. or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field</li><li>Familiarity with programming languages (e.g. Python) and machine learning libraries (e.g. SciKit Learn)</li><li>Deep understanding of natural language processing techniques </li><li>Experience in overall big data analysis and system-backed integration with ML/LLM system/solution</li><li>Good understanding of quantitative disciplines such as statistics, machine learning, operations research, and causal inference</li><li>Experience productionizing and A/B testing different machine learning models</li><li>Must be willing to work in office 2 days per week on Wednesday and Thursday. </li></ul>Bonus points <ul><li>Experience leveraging commercial or open source LLM APIs to build solutions, such as OpenAI or llama </li><li>Experience in the finance industry </li></ul>Compensation The expected salary range for this role is $176,800 CAD - $221,000 CAD. 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 <a>brex.com</a> 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. Risk Data Science at Brex The Risk Data Science team leverages data and AI to manage financial risk (fraud, money laundering, and credit), striking a balance between mitigating those risks and creating a positive experience for our customers. What you'll do Our Data Scientists are responsible for the entire model development lifecycle from conception with stakeholders, developing the model in a notebook, putting it into production, and circling back with stakeholders to make product or strategic decisions. Responsibilities <ul><li>Drive Data & AI solutions from inception to deployment to efficiently manage risk</li><li>Be responsible for the full machine learning lifecycle: data acquisition, model design, training, productionization, and monitoring</li><li>Partner with cross-functional teams (Ops, Engineering, Product, Fraud, Compliance, and Credit)</li></ul> Requirements <ul><li>4+ years of experience in Data Science/ML roles</li><li>Expertise with Python programming, SQL queries, and ML-related frameworks</li><li>Previous experience in the Risk domain (Fraud, AML, and/or Credit)</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>Experience working with real-time data sets</li><li>Experience in the finance industry</li></ul> Compensation The expected salary range for this role is $176,800 - $221,000. 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.

About CompQsoft Founded in 1997, CompQsoft operates as a Microsoft Solutions partner with over two decades of experience, specializing in providing IT services and systems integration solutions. Catering to both commercial and government clients, the company is dedicated to helping them achieve their technical and organizational objectives.   At CompQsoft, we diverge from the conventional approach of establishing strategies and goals before identifying the necessary technologies. Instead, we collaborate with our clients to expedite the realization of value through digital innovation, emphasizing creativity and agility. Our approach involves thinking ambitiously, delivering personalized solutions, and assisting clients in gaining a competitive edge through innovative solutions.   Our expertise spans a range of Microsoft technologies, including Azure, Dynamics 365 Business Central, Finance and Operations, Data and Analytics, Power-BI Fabric, Microsoft 365, Enterprise Collaboration Services, Power Platform, PowerApps, Security, Application & Infrastructure modernization, Internet of Things, Generative AI, Data Science, Data Governance, Responsible AI, and Cloud optimization.  We offer services in the following technology areas:  <ul><li>Collaboration </li></ul>Power Platform, SharePoint Upgrade & Migration, M365 applications, LOB applications, Intranet/extranets, MS Teams, Microsoft PowerApps and Flow, Lotus Notes to M365 Migration, SharePoint Support & SharePoint Governance. <ul><li>Azure </li></ul>Azure Infrastructure Services, Application Development & Modernization, Advisory Services, Migration and Development, Deploy and Manage Services <ul><li>MS Dynamics 365 CRM & ERP </li></ul>Consulting, Implementation/Integration and Support Services for MS Dynamics 365 CRM & ERP (Business Central & F&O)  <ul><li>Infrastructure Services </li></ul>Azure Infrastructure & Security Design and Consulting services, AVD, Azure Sentinel & Remote Managed Services <ul><li>Applications Development </li></ul>Custom development Leveraging .Net framework and Azure <ul><li>Data & AI </li></ul>Dashboards, Reports Creation and Maintenance, BI solutions leveraging SQL Azure, Azure Data warehouse, Cube Development and Data Visualization, Power-BI Reports and Dashboards and Data Platform Modernization & Microsoft Fabric. RPA, Machine Leaning, Generative AI, Data Science, Data Governance & Responsible AI <ul><li>SAP </li></ul>SAP on Azure, SAP Migration, SAP Infrastructure & infra security, SAP Basis, SAP S/4HANA, SAP S/4HANA on Cloud & SAP Rise <ul><li>Salesforce </li></ul>Salesforce consulting, Salesforce implementation, Salesforce customization, Salesforce application development, Salesforce migration, Salesforce integration, Salesforce upgrade & Salesforce support and maintenance  Role Summary:  We are seeking a skilled and motivated Data Engineer to join our team. The ideal candidate will have a strong background in Microsoft Azure and Microsoft Fabric, with a passion for designing and implementing scalable data solutions. As a Data Engineer, you will work closely with our data science and analytics teams to develop data pipelines, manage data integration, and ensure the smooth flow of data across our platforms.  Key Responsibilities:  Design and Implement Data Solutions: <ul><li>Develop and maintain scalable data pipelines using Microsoft Azure services (e.g., Azure Data Factory, Azure Synapse Analytics). </li><li>Implement data processing and transformation solutions with Microsoft Fabric. </li><li>Optimize data storage and retrieval processes to support efficient data analysis and reporting. </li></ul>Data Integration and Management: <ul><li>Integrate data from various sources into a unified data platform. </li><li>Ensure data quality and consistency across different systems. </li><li>Monitor and troubleshoot data integration processes to address any issues promptly. </li></ul>Collaboration and Support: <ul><li>Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs. </li><li>Provide technical support and guidance for data-related projects. </li><li>Participate in code reviews and contribute to best practices in data engineering. </li></ul>Documentation and Reporting: <ul><li>Create and maintain documentation for data pipelines, integrations, and processes. </li><li>Prepare reports and dashboards to track data performance and provide insights to stakeholders. </li></ul> Qualifications:  Education:  Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field. Advanced degrees or certifications are a plus.  Experience: <ul><li>Proven 5-8 experience as a Data Engineer or in a similar role with a focus on Microsoft Azure and Microsoft Fabric. </li><li>Hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, and other Azure services. </li><li>Experience with data integration, ETL processes, and data warehousing. </li><li>Familiarity with data modeling and database design principles. </li></ul> Skills: <ul><li>Proficiency in SQL and other query languages. </li><li>Strong problem-solving skills and attention to detail. </li><li>Ability to work independently and as part of a team. </li><li>Excellent communication and collaboration skills. </li></ul> Certifications: <ul><li>Microsoft Azure certifications (e.g., Azure Data Engineer Associate) are preferred but not required. </li></ul> WHY CUSTOMERS CHOOSE COMPQSOFT <ul><li>26 years of experience in delivering complex IT Services & Solutions </li><li>Microsoft heritage   </li><li>Thought Leadership - Excellent customer references </li><li>Execution Focus - High quality while being very cost-effective with </li><li> blended mode. </li></ul> CompQsoft is an equal-opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, and veteran or disability status.  Work Environment  While performing the duties of this job, the employee will work primarily in an office environment. The noise level in the work environment is usually moderate.  Physical Demands   While performing the duties of this job, the employee may be prone to sitting for lengthy periods of time. The employee is regularly required to talk or hear. The employee is frequently required to stand, walk, sit; use hands to finger, handle, or feel; and reach with hands and arms. Specific vision abilities required by the job include close vision. Lifting requirements may be required to lift and/or move up to 20 lbs. Employee is required to travel to business and customer locations, locally and/or nationally up to 30-40%.   The Company reserves the right to revise or change job duties and responsibilities as the need arises. This job description does not constitute a written or implied contract of employment. CompQsoft is an Equal Opportunity Employer.

Position Title: Data Engineer / Analyst Direct Hire Remote - EST only Essential Functions:<ul><li>Meet with stakeholders to determine data requirements.</li><li>Develop reports, dashboards, and analytics to improve organizational outcomes.</li><li>Use ETL tools to extract, transform, and load data.</li><li>Analyze data for trends and patterns; prepare reports for management.</li><li>Collaborate with teams to identify process improvements and data governance strategies.</li><li>Troubleshoot and resolve data issues promptly. </li></ul>Qualifications:<ul><li>BS in Computer Science, Data Analytics, or Business Analytics.</li><li>2+ years of experience in a related field, preferably in HVAC or similar industries.</li><li>Proficiency in SQL, ETL processes, and data accuracy.</li><li>Experience with Power BI, SSRS, and ETL tools.</li><li>Strong problem-solving skills and attention to detail.</li><li>Experience with BuildOps, SageIntacct, ADP, and data sourcing from databases and APIs is a plus.</li></ul>Apply now!

Data Engineer Location: Atlanta, GA (Hybrid)Position Type: Contract, W2 (September 2024 - April 2025)$55-$62/hour About Us:Our Energy and Utilities client is a leading provider of reliable and sustainable energy solutions. We are committed to innovation and efficiency in every aspect of our operations. As part of our continued growth and digital transformation efforts, we are seeking a skilled Data Engineer to join our team on a contract basis. Position Overview:The Data Engineer will play a critical role in managing and optimizing data pipelines, ensuring the reliability and scalability of our data architecture. This role involves working closely with cross-functional teams, including IT, data science, and business units, to support data-driven decision-making processes. The ideal candidate will have a strong background in data engineering within the energy and utilities sector. Key Responsibilities:<ul><li>Data Pipeline Development: Design, build, and maintain scalable data pipelines to collect, process, and analyze large datasets from various sources.</li><li>Data Integration: Integrate data from multiple sources, ensuring data consistency, quality, and availability for analytical and operational needs.</li><li>Data Modeling: Develop and optimize data models to support efficient storage, retrieval, and analysis of data.</li><li>ETL Processes: Implement and manage ETL (Extract, Transform, Load) processes to ensure timely and accurate data delivery.</li><li>Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.</li><li>Data Quality: Monitor and improve data quality, implementing best practices for data governance and security.</li><li>Performance Optimization: Optimize database performance and query execution, ensuring the system meets performance standards.</li><li>Documentation: Create and maintain detailed documentation of data engineering processes, workflows, and systems.</li></ul> Qualifications:<ul><li>Education: Bachelor's or Master’s degree in Computer Science, Data Engineering, Information Technology, or a related field.</li><li>Experience:</li><li>Proven experience as a Data Engineer, preferably within the energy and utilities industry.</li><li>Strong experience with SQL and NoSQL databases, data warehousing solutions, and ETL tools.</li><li>Proficiency in programming languages such as Python, Java, or Scala.</li><li>Familiarity with cloud platforms like AWS, Azure, or Google Cloud.</li><li>Experience with big data technologies such as Hadoop, Spark, or Kafka is a plus.</li><li>Skills:</li><li>Excellent problem-solving skills and attention to detail.</li><li>Strong understanding of data structures, algorithms, and data architecture best practices.</li><li>Ability to work collaboratively in a fast-paced environment.</li><li>Effective communication skills, with the ability to translate technical concepts for non-technical stakeholders.</li></ul>

Roles & ResponsibilitiesData Management and Storage:Design and implement data storage systems using Azure services like Azure SQL Database, Azure Data Lake Storage, and Azure Synapse.Ensure scalability, performance, and cost-effectiveness.Data Integration and ETL (Extract, Transform, Load):Develop and implement data integration processes using Azure Data Factory.Extract data from various sources, transform it, and load it into data warehouses or data lakes.Big Data and Analytics:Utilize big data technologies such as Apache Spark.Create data processing workflows and pipelines to support data analytics and machine learning applications.Build and maintain new and existing applications in preparation for a large-scale architectural migration within an Agile function.Monitor and optimize data pipelines and database performance to ensure data processing efficiency.Build interfaces for supporting evolving and new applications and accommodating new data sources and types of data.Document data engineering processes, data models, and pipelines to ensure transparency and maintainability. Bachelor's degree Computer Science or a related field.5+ of experience in building data and analytics platform focused on Azure data and analytics solutions.Expertise in Azure services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Proficiency in:Software development and scripting languagesETL tools (e.g., SSIS, Azure Data Factory, Power BI Dataflow).Database management (MSSQL, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse).Knowledge of data modeling and data warehousing concepts.Excellent problem-solving and troubleshooting abilities.Attention to detail and commitment to data accuracy.Experience with cloud-based data migration.Strong analytical and problem-solving skills, with ability to conduct root cause analysis on system, process or production problems and ability to provide viable solutions.Experience working in an Agile environment with Scrum Master/Product owner and ability to deliver.3+ years of programming experience in Python/Pyspark. Knowledge of Jira, Confluence, SAFe development methodology & DevOps

Senior Data Engineer Full-Time Dallas, TX Hybrid role. Must be in Dallas office up to 2x per week. Compensation DOE: Up to $140K No sponsorship offered. Do to the sensitive nature of this position which involves handling classified information, U.S. Citizenship is required. Career Transitions is supporting a dynamic and innovative organization that is hiring a Senior Data Engineer for their operation. Senor Data Engineer Responsibilities:<ul><li>Design, develop, and maintain robust and scalable data pipelines and architectures.</li><li>Extract, transform, and load (ETL) data from various sources into data warehouses and data marts.</li><li>Utilize artificial intelligence techniques (LLM, SLM, ML) to build predictive models and extract valuable insights from data.</li><li>Collaborate with data scientists, analysts, and business stakeholders to understand their requirements and deliver data-driven solutions.</li><li>Optimize data pipelines for performance and efficiency.</li><li>Ensure data quality and integrity throughout the data lifecycle.</li><li>Stay up-to-date with the latest trends and technologies in the data engineering field.</li></ul> Senor Data Engineer Qualifications:<ul><li>Bachelor's degree in Computer Science, Data Engineering, or a related field.</li><li>Minimum of 5 years of experience as a Data Engineer or a similar role.</li><li>Strong expertise with relational databases (e.g., PostgreSQL, MySQL, Oracle).</li><li>Proven experience in data transformation and manipulation using SQL and other tools.</li><li>Hands-on experience with artificial intelligence techniques (LLM, SLM, ML).</li><li>Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and cloud-based data services.</li><li>Excellent problem-solving and analytical skills.</li><li>Strong communication and collaboration skills.</li></ul> Benefits:<ul><li>Competitive salary and benefits package.</li><li>Opportunity to work on challenging and innovative projects.</li><li>Collaborative and supportive work environment.</li><li>Professional development and growth opportunities.</li></ul> Send resume to Brian Hulecki Career Transitions: Find Your Dream Job or Hire the Best Talent Career Transitions is a leading recruiting agency that specializes in helping employers find their next critical hire and job seekers find their dream job. Our team of experienced national network recruiters are dedicated to finding you the perfect match for your open position or helping you find the right job for your skills and interests. We offer a variety of services, including:<ul><li>Recruitment: We match talent with open jobs.</li><li>Contract staffing: We place technical and exempt professionals in temporary or contract assignments that can become full-time positions.</li><li>Outplacement: We provide terminated or laid off employees with tools to be competitive in the job market.</li><li>Career management: We help you develop your career and reach your goals to be the next leader.</li></ul> Career Transitions is committed to providing you with a high-quality talent acquisition experience. Our diverse candidate database and extensive recruiting experience reflects our commitment to match qualified candidates to employers' open positions. We work diligently to ensure that you receive efficient and effective services. We specialize in connecting employers with qualified technical and exempt professionals in many fields, ranging from accounting and finance to engineering and technology, and human resources to sales and marketing. We are also dedicated to upholding the values of diversity, equity, and inclusion (DEI), IS&G, and ESG initiatives with our customer. We are an equal opportunity employer and provide support for veterans and people with disabilities. Choose Career Transitions contingency, retained, or contract talent acquisition services to find your next hire or dream job.Visit our website today to learn more about how we can help you.

Data Engineer - Energy Trading - Houston We are working with a leading energy trading firm who are passionate about leveraging cutting-edge technology that are seeking a motivated Data Engineer to be responsible for building and maintaining their market data analytics for their trading team. You will work closely with quantitative analysts, data scientists and software engineers to ensure that the data pipelines are robust, scalable and efficient to enhance and support systematic trading activities. Your skills/responsibilities:<ul><li>Have hands on Python software development experience</li><li>Design, develop, and maintain scalable data pipelines to support algorithmic trading strategies.</li><li>Implement data quality checks, monitoring, and alerting systems to ensure data integrity.</li><li>Collaborate with Quant teams to understand data requirements and optimise data workflows.</li><li>Automate data ingestion, processing, and storage processes to support real-time and batch trading systems.</li><li>Work with AWS cloud platforms and tools to manage data infrastructure and ensure high availability.</li><li>Develop and maintain CI/CD pipelines for data-related code and infrastructure.</li></ul> This role is 5 days a week in Houston office Competitive salary + Lucrative Front Office Bonuses Please submit your CV for immediate consideration. Candidates must be a US citizen or Green Card holder

Senior Data Engineer Immediate opportunity for a Senior Data Engineer to join a top-notch company experiencing rapid growth! RESPONSIBILITIES: <ul><li>Contribute to a team of data engineers through design, demand delivery, code reviews, release management, implementation, presentations, and meetings.</li><li>Mentor fellow data engineers and contribute to ongoing process improvements for the team</li><li>Evaluate business needs and objectives and align architecture/designs with business requirements</li><li>Build the data pipelines required for the optimal extraction, transformation, integration, and loading of raw data from a wide variety of data sources</li><li>Assemble large, complex data sets and model our data in a way that meets functional / non-functional business requirements</li><li>Create data tools for analytics team members that assist them in generating innovative industry insights that provide our business a competitive advantage</li><li>Implement data tagging mechanisms and metadata management so data is accurately classified and visible to the organization</li><li>Build processes to help identify and improve data quality, consistency, and effectiveness</li><li>Ensure our data is managed in a way that conforms to all information privacy and protection policies</li><li>Use agile software development processes to iteratively make improvements to our data management systems</li><li>Identify opportunities for automation</li><li>Be an advocate for best practices and continued learning</li></ul> This is a direct-hire position in Atlanta. Work a hybrid schedule - onsite three days a week at our Smyrna location! REQUIRED SKILLS:<ul><li>4+ years of data management experience</li><li>3+ years in data engineering with detailed knowledge of data warehouse technical architectures, infrastructure components, and ETL/ELT</li><li>Experience with performance analysis and optimization.</li><li>Experience in data acquisition, transformation, and storage design using design principles, patterns, and best practices.</li><li>Experience with Informatica, Kafka, CDC, SQL, Irwin, Python, AWS (S3, Athena, Glue, Kinesis, Redshift), Spark, Scala, AI/ML, Modern data platforms, Snowflake, dbt, Fivetran, and Airflow.</li></ul> PREFERRED SKILLS:<ul><li>Data engineering certification</li><li> Bachelor's degree</li></ul> Must be authorized to work in the US. Sponsorships are not available.***NO 3RD PARTIES OR C2C!!

Brex Data Engineer Interview Guide

Overview

Brex Data Engineer Salary

Brex Data Engineer Interview Process

Brex Data Engineer Interview Questions

Brex Data Engineer Jobs