Job Description

Posting Text
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.

This role requires working on location; remote work is not offered

Role Overview

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

What We’re Looking For

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