Job Description

Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant services. Our worldwide team helps over 3 million companies, more than 1,300 financial institutions and over 600 million cardholders grow with confidence and achieve amazing results. We are driven by our passion for success and we are proud to deliver best-in-class payment technology and software solutions. Join our dynamic team and make your mark on the payments technology landscape of tomorrow.

Key Responsibilities

• Assist in building and maintaining ETL/ELT pipelines for structured and unstructured data.
• Support data ingestion from APIs, databases, and flat files into data warehouses/lakes.
• Write and optimize SQL queries for data transformation and validation.
• Help monitor pipeline performance, troubleshoot failures, and improve data quality.
• Contribute to data modeling and documentation of datasets, workflows, and standards.
• Collaborate with analysts, data scientists, and software engineers on business data needs.
• Participate in code reviews, testing, and deployment activities.

Required Qualifications

• Currently pursuing or recently completed a degree in Computer Science, Data Science, Information Systems, or related field.
• Basic knowledge of SQL and at least one programming language (Pythonpreferred).
• Understanding of databases and data warehousing concepts.
• Familiarity with version control tools (Git).
• Strong problem-solving and communication skills.

Preferred Qualifications

• Exposure to cloud platforms (AWS/Azure/GCP).
• Familiarity with data tools such asAirflow,dbt,Spark, orKafka(academic/project level acceptable).
• Understanding of data governance, quality checks, and basic security concepts.
• Prior internship or project experience in data engineering/analytics.

What the Intern Will Learn

• End-to-end pipeline development and orchestration.
• Best practices for scalable, reliable data architecture.
• Real-world data quality, observability, and governance practices.
• Cross-functional collaboration in a production data environment.

Success Metrics

• Timely completion of assigned pipeline or data tasks.
• Data accuracy and reliability improvements in assigned workflows.
• Quality of documentation and code contributions.
• Positive collaboration and learning progress throughout the internship.

Global Payments Inc. is an equal opportunity employer. Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. If you wish to request reasonable accommodations related to applying for employment or provide feedback about the accessibility of this website, please contact jobs@globalpayments.com