Data Application Developer

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. 

Summary of This Role

As our  Data Application Developer you will monitor and control client operating systems to ensure efficient and continuous performance. Advise on the technical aspects of information systems and products, cost, technical requirements to meet customer needs/system environment. Prepare flow charts, models, and procedures and conducts feasibility studies to design possible system solutions.

Design, develop, and maintain python-based interactive data applications that solve business problems through automation, integration, and workflow optimization. Combine software engineering principles with data platform expertise to build user-facing tools that make data accessible and actionable. Implements data pipelines and transformations to support application functionality. Collaborate across teams to translate business requirements into production-ready data applications.

What Part Will You Play?

Primary Responsibilities (60% - Application Development)

• Design, develop, and deploy interactive data applications using Python frameworks (Streamlit, Flask, Dash, Gradio) that solve specific business problems

• Build workflow automation applications that integrate with multiple systems via REST APIs, webhooks, and database connections

• Create self-service data exploration tools that enable non-technical users to interact with data without writing SQL

• Implement user input handling, form processing, and dynamic content generation based on user interactions

• Develop API endpoints and integration layers to connect applications with external systems and data sources

• Design intuitive user interfaces and workflows that prioritize user experience and business value

• Deploy and maintain production applications with proper error handling, logging, and monitoring

• Collaborate with business stakeholders to understand requirements and translate them into functional applications

Supporting Responsibilities (30% - Data Engineering)

• Build and maintain data pipelines using SQL and Python to support application functionality

• Develop ETL/ELT processes to extract, transform, and load data from various sources into Snowflake or equivalent platforms

• Write efficient SQL transformations including window functions, CTEs, and complex joins

• Implement data quality validation and monitoring within pipelines

• Create and maintain data models that support application requirements

• Optimize query performance and troubleshoot data pipeline issues

• Work with data governance requirements including masking policies and access controls

Strategic Responsibilities (10% - Architecture & Design)

• Contribute to platform architecture decisions and data modeling strategies

• Evaluate new technologies and frameworks for application development

• Provide input on integration patterns and system design

• Participate in code reviews and technical documentation

• Influence best practices for application development and deployment

• Cross-Functional Collaboration

• Work with data scientists to build applications around machine learning models and inference endpoints

• Partner with business users to understand pain points and identify automation opportunities

• Collaborate with DevOps and infrastructure teams on deployment and monitoring strategies

• Support analysts and other users in leveraging applications effectively

What Are We Looking For in This Role?

Minimum Qualifications

• Bachelor's Degree in Computer Science, Information Systems, Data Science, or r