Software Engineer

The University of South Dakota is seeking a Software Engineer to provide application, development, data, and integration support for the USD Vermillion campus. This role works closely with campus stakeholders to understand business needs, translate requirements into technical solutions, and support systems that improve operations, reporting, and data quality., The successful candidate will support existing applications, develop new solutions, manage integrations and data workflows, and contribute to the university’s business intelligence and data platform strategy. Develop, test, maintain, and troubleshoot campus and statewide administrative applications, ERP interfaces, APIs, and ETL or pipeline processes Gather requirements, define project specifications, estimate timelines and resources, and deliver solutions that align with business needs Design and support business intelligence solutions that provide accurate, timely data for campus decision-makers Identify, investigate, and resolve data quality issues across enterprise systems Design, build, and maintain scalable data environments, including lakehouse technologies and Microsoft Fabric where applicable Collaborate with administrative offices and technical partners to map processes, improve workflows, and support system changes Coordinate with SDBOR Regent Information System staff on system-level issues, integrations, and shared initiatives Create clear technical and process documentation for technical, functional, and leadership audiences Provide technical guidance and mentorship to junior team members as needed

Experience with ERP systems, enterprise application development, SQL databases, API integration, ETL development, and reporting or analytics tools Strong skills in program design, coding, testing, troubleshooting, and supporting business-critical applications Ability to analyze complex problems, reason through technical and business constraints, and deliver practical solutions Ability to communicate technical concepts clearly to technical and non-technical audiences Demonstrated customer service orientation and ability to collaborate effectively with campus partners Ability to manage multiple priorities, adapt to shifting project needs, and deliver work within defined scope and timelines Strong attention to detail, documentation practices, and willingness to learn new systems quickly Understanding AI concepts Understanding of Data Analysis and Data Science

Preferred Experience and Technologies

Microsoft Fabric, Power BI, lakehouse architecture, and data pipeline tools Data science, data analysis, business intelligence, and institutional reporting Higher education systems, administrative processes, or statewide ERP environments Project management, process improvement, and cross-functional technical coordination