Software Engineer, Data Engineering, Data Analyst

The University of South Dakota is seeking a Software Engineer to provide application, development, data, and integration support for the USD Vermillion campus. The role requires on‑site presence; remote work is not offered.

• 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.

• 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.

Must be authorized to work in the U.S.; sponsorship is not available.

Salary: $68,500 – $77,500 annually.

USD is committed to fostering a dynamic and welcoming working and learning environment for all. USD provides equal employment opportunities to all employees and applicants for employment without regard to ideological, political, or sectarian opinions or perspectives; or race, color, creed, religion, sex, ancestry, disability, national origin or any other factor protected by applicable federal, state, or local laws. USD is committed to the principles of free expression and encourages the timely and rational discussion of topics in an environment that is intellectually and ideologically diverse.