GCP Data Engineer

Piper Companies is seeking a Data Engineer to join a highly technical Data and AI organization supporting a large-scale global payments environment. This role will focus on building advanced data platforms and machine learning-enabled solutions that translate complex data into actionable, revenue-driving insights. The Data Engineer will work closely with business, product, and engineering teams to design, build, and deploy scalable data and ML systems into production. This position requires strong technical depth, comfort operating in fast-paced environments, and a passion for applied analytics and engineering. This role is onsite or hybrid in Charlotte, NC based on business needs. Candidates must be authorized to work in the United States. Responsibilities Frame complex business problems using data engineering, statistical modeling, and machine learning techniques Design, build, and maintain scalable data pipelines and production-level machine learning systems Develop and support solutions across areas such as recommendation systems, time-series forecasting, optimization, and natural language processing Partner with cross-functional stakeholders to identify opportunities to leverage internal and external data for business impact Own critical data engineering and application development efforts from concept through production Support large-scale experimentation and A/B testing frameworks to evaluate and improve model performance Contribute to cross-team collaboration and help advance enterprise data and analytics capabilities Requirements Bachelor's degree in a quantitative field such as Computer Science, Mathematics, Statistics, Physics, or a related discipline 3 or more years of experience translating mathematical models and data workflows into production-ready systems Strong programming experience in Python and Kafka and or C++ Solid foundation in probability, statistics, and applied machine learning concepts Hands-on experience with NLP, time-series analysis, and Generative AI data pipelines Prior experience working in a highly technical, data-driven research or engineering environment Ability to clearly communicate complex technical concepts to both technical and non-technical audiences Compensation $115,000 – $135,000 annually Comprehensive benefits package including medical, dental, vision, and 401(k) options J-18808-Ljbffr