Data Engineer – Contractor

What We Need

Corpay is currently looking to hire a Data Engineer – Contractor to join our team. In this role, the Data Engineer - Contractor will join our Data & Analytics team and help support, enhance, and scale our enterprise data platform. This role will be responsible for developing and maintaining data pipelines, data models, and reporting datasets across our Microsoft Fabric environment, enabling reliable and actionable data for business stakeholders. The ideal candidate will have hands-on experience with Microsoft Fabric, Azure Data Factory, Azure SQL technologies, Data Warehouses, and Lakehouses. This role will focus on ensuring the stability, performance, and scalability of our data ecosystem while supporting ongoing business initiatives within the payments industry.

How We Work

As a Data Engineer – Contractor, you will be expected to work in a remote environment

Corpay will set you up for success by providing:

• Company-issued equipment
• Hands-on training

Responsibilities

• Supporting and enhancing enterprise data solutions built within Microsoft Fabric, ensuring reliability, scalability, and performance.
• Developing, maintaining, and optimizing data pipelines using Microsoft Fabric and Azure Data Factory.
• Building and managing data ingestion processes from internal and external data sources.
• Supporting and maintaining Fabric Data Warehouses, Lakehouses, and related data assets.
• Monitoring data pipelines and platform performance, proactively identifying and resolving issues.
• Ensuring data quality, consistency, and governance standards are maintained across the platform.
• Creating and maintaining technical documentation for data pipelines, data models, and operational processes.
• Participating in platform modernization initiatives and continuous improvement efforts.
• Supporting testing, deployment, and production validation activities for data engineering projects.
• Working closely with analytics, reporting, and business intelligence teams to enable accurate and timely reporting.
• Assisting in troubleshooting complex data integration and performance issues across multiple systems.

Qualifications

• 3–5 years of experience in Data Engineering, Data Integration, or a related technical field.
• Hands-on experience with Microsoft Fabric, including Data Warehouses, Lakehouses, and data pipelines.
• Knowledge of data modeling, data warehousing, and data integration best practices.
• Experience troubleshooting and optimizing large-scale data processing workloads.
• Strong analytical and problem-solving skills.
• General payments industry experience, including exposure to payment processing, financial services, fintech, commercial payments, AP automation, or related domains.
• Familiarity with broad Azure data services.
• Experience working in fintech, payments, banking, or financial services organizations.
• Microsoft Fabric, Azure, or related cloud certifications.

About Corpay

Corpay is a global technology organization that is leading the future of commercial payments with a culture of innovation that drives us to constantly create new and better ways to pay. Our specialized payment solutions help businesses control, simplify, and secure payment for fuel, general payables, toll and lodging expenses. Millions of people in over 80 countries around the world use our solutions for their payments.

At Corpay, we are committed to fostering an inclusive and respectful workplace where employees are valued for their diverse perspectives, experiences, and contributions. We believe that diversity, equity, and inclusion strengthen our teams, drive innovation, and support our continued success globally.

As part of our hiring process, offers of employment may be subject to the successful completion of pre-employment screening conducted by an authorized third-party provider, in accordance with applicable laws and Corpay policies. Screening requirements may include employment references, identity verification, criminal record checks, financial or sanctions screening, and other background checks relevant to the role and permitted by local law.

Notice to Recruitment Agencies and Search Firms: Corpay does not accept unsolicited resumes from agencies or search firms without a valid written agreement in place. Any unsolicited candidate submissions will become the property of Corpay, and no fees will be paid related to such submissions.

Learn more about Corpay: https://www.corpay.com

Transparency & Compliance

Equal Opportunity Employer

Corpay is committed to providing equal employment opportunities to all applicants and employees. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), gender, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, marital status, genetic information, military or veteran status, or any other characteristic protected by applicable law. Corpay is committed to fostering an inclusive workplace where individuals are respected and valued for their diverse perspectives, experiences, and contributions. If you require reasonable accommodation during any part of the application or interview process, please notify a representative of the Human Resources Department.

Use of Artificial Intelligence in Hiring

Corpay may use artificial intelligence (AI) and other technology-enabled tools to support certain aspects of the recruitment process, such as application screening, candidate assessment, or interview scheduling. These tools are designed to enhance efficiency, consistency, and fairness throughout the hiring process. AI tools do not make final hiring decisions. All employment decisions involve human review. Corpay is committed to the responsible use of AI, including appropriate oversight and safeguards designed to support fair and unbiased outcomes.

Candidate Privacy Notice

For information about how Corpay processes personal information during the recruitment process, please review our Candidate Privacy Notice: https://www.corpay.com/privacy-policy.

Pay Philosophy

Corpay is committed to fair, equitable, and transparent compensation practices. Compensation decisions are based on objective, job-related factors including skills, experience, qualifications, and market benchmarks. Where required by applicable law, salary or compensation ranges will be included in the job posting or provided prior to the interview process, where required by applicable law. Additional compensation elements such as bonuses, incentives, benefits, or variable pay may apply where applicable.