Develops, tests, documents, implements, and supports moderately complex software across front-end and back-end platforms. Collaborates with business, technology, client, vendor, and leadership teams; contributes to application standards, PCI compliance, estimates, production support, and solution design. Uses Python, SQL, BigQuery, Snowflake, Power BI, APIs, and relational and NoSQL databases. Provides peer guidance and applies analytical, data validation, feature engineering, and visualization skills.
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.
Ready to take your career global?Make your mark at one of the biggest names in payments. We’re looking for a Field Sales Representative to join our ever-evolving sales team and help shape the future of Global Payments.What you’ll own- Capture definitions, owners, cadence, and dependencies
- report logic as SQL transformations in cloud data warehouses (e.g., Snowflake/BigQuery/DBT)
- Validate parity vs. legacy outputs; reconcile discrepancies and document assumptions
- Publish curated datasets/metrics for dashboards and consumers partnering with stakeholders on requirements
- Use AI tools to speed analysis and drafting while maintaining accuracy and controls
- Able to design the data storage and Data pipelines
- Snowflake SQL and DBT: write queries from scratch; view,mviews, joins, aggregations, filters, subqueries; comfortable reading unfamiliar schemas
- SQL transformations in cloud data warehouses: build reliable staging/curated datasets; strong joins, window functions, and reusable logic; comfortable working across schemas
- Python or basic scripting
- Data engineering or pipeline skills
- Data documentation: able to catalogue reports, map columns to source systems, and write clear descriptions for non-technical audiences
- Attention to detail: finance-grade accuracy; output feeds executive and regulatory reporting
- Stakeholder communication: able to translate analytical findings into clear, non-technical language for business audiences
- Comfort with fragmented, incomplete data: able to navigate multiple disconnected source systems, reconcile inconsistencies, and piece together a coherent picture without hand-holding
- AI-first mindset: daily user of AI tools (Copilot/github copilot or similar) to speed analysis and drafting; already works this way (not "will learn")
- Attention to detail: finance-grade accuracy; output feeds executive and regulatory reporting
- Background on Credit Risk , Lending
- Snowflake or any cloud data warehouse (BigQuery, Redshift)
- Experience in financial services, payments, or fintech
- Cross-domain data analysis: exposure to working with data from more than one business function or system; comfortable joining datasets that weren’t designed to be joined
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 [email protected].
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