Edtech.com's Summary

University of South Carolina is hiring an Institutional Data Engineer for the Analytics and Data Governance team in the Division of IT. The engineer designs, builds, and maintains the university's enterprise data infrastructure, integration processes, and analytical data environments. The position is on-site in Columbia, and applications are accepted through October 17, 2026.

Highlights

Design, develop, maintain, and optimize enterprise data infrastructure and analytical data environments
Integrate data from multiple enterprise systems and build and maintain data pipelines
Support data quality and governance initiatives
Give the university reliable, scalable access to institutional data for analytics and reporting
Improve data accuracy, completeness, and consistency
Help modernize the university's analytics capabilities
Proficiency in data engineering technologies such as SQL, relational databases, ETL or ELT, and data warehousing
Strong problem-solving and communication skills across distributed teams
Salary starts at $78,441 and is based on experience
On-site in Columbia, SC, Monday to Friday, 8:30 a.m. to 5 p.m.

Institutional Data Engineer Full Description

Posting Summary

Institutional Data Engineer, Analytics and Data Governance team, Division of Information Technology (IT Enterprise Applications), Columbia campus. On-site in Columbia, SC. Full time, 37.5 hours per week, 12-month basis, 3 vacancies. Standard schedule Monday-Friday 8:30am-5:00pm with 1 hour for lunch; must be willing to work a flexible schedule to meet the needs of the Division of IT. USC Market Title: Data Engineer (P3 - Professional). USC Market Range: $78,441 / $98,051 / $117,662. Anticipated hiring range: $78,441 - salary is commensurate with experience.

Advertised Job Summary

Shape the Future of Data Analytics at One of America’s Most Beautiful Campuses. Join the University of South Carolina in Columbia, the vibrant capital city of one of the fastest-growing states in the nation. As we revolutionize our digital landscape, we are seeking an experienced Institutional Data Engineer to join our Analytics and Data Governance team within the Division of Information Technology. Help us transform South Carolina’s flagship campus into a nationally recognized hub for innovation and data-driven excellence.

This is an opportunity to make a meaningful difference while working with evolving technologies and solving challenging problems in a collaborative environment.

The Institutional Data Engineer serves as a technical expert responsible for designing, developing, maintaining, and optimizing the University’s enterprise data infrastructure, integration processes, and analytical data environments. This role integrates data from multiple enterprise systems, develops and maintains data pipelines, supports data quality and governance initiatives, and enables reliable institutional analytics and reporting for the University of South Carolina and its extended campuses.

Key responsibilities

Provide scalable and reliable access to institutional data.
Improve data accuracy, completeness, and consistency.
Modernize the institution’s analytics capabilities.

What We’re Looking For

Strong problem-solving and communication skills; works well across distributed teams.
Demonstrated proficiency in data engineering technologies and processes (e.g., SQL, relational databases, ETL/ELT technologies, data warehousing)
Brings strategic vision and operational excellence to IT service delivery.
Thrives in a collaborative culture where curiosity and innovation are valued.

Minimum Required Education and Experience

Requires a bachelor’s degree in a job-related field and 3 or more years of job-related experience, which may be substituted by an equivalent combination of job-related certification, training, education, and/or experience.

Preferred Qualifications

Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Statistics, or a related field.
Strong proficiency in ETL tools (e.g., IBM DataStorage, Informatica, SSIS) and BI tools (e.g., Cognos, Tableau, PowerBI), including recommended configuration and security practices in hardware and cloud-based server environments.
Strong proficiency in SQL for data querying, transformation, and optimization.
Experience with relational databases such as Oracle, SQL Server, or PostgreSQL.
Familiarity with data warehouse concepts and dimensional modeling.
Strong analytical and problem-solving skills with keen attention to detail.
Excellent communication skills and the ability to work collaboratively in a team environment.
Experience working in a higher education or public sector environment.
Experience working with enterprise data systems (e.g., HR, Finance, Student Information, Learning Management) and large-scale institutional datasets.

Knowledge/Skills/Abilities

Knowledge of higher education data structures, business processes, and institutional research methodologies.
Ability to follow directions and communicate effectively with colleagues and supervisors. Ability to collaborate across distributed, cross-functional teams.

Job Duties

Data Engineering and Integrations (30%)

Serve as a subject-matter expert, leading enterprise-wide data engineering and integration projects and initiatives as directed
Design, develop, and maintain enterprise data pipelines, ETL/ELT processes, and system integrations, and automated workflows supporting institutional reporting and analytics.
Work in partnership with data architects to set technical standards, architecting and optimizing enterprise data models, data warehouses, curated datasets, and database objects that provide scalable, secure, and reliable access to institutional data.
Create and optimize database objects, views, stored procedures, and integration solutions to improve system performance and scalability.
Monitor and enhance data architecture to ensure efficient and reliable access to institutional data.
Support integration of data across the Columbia campus and university system institutions to promote consistency and comparability of reporting

Data Quality and Integrity (30%)

Implement data validation, reconciliation, and quality assurance processes to ensure the accuracy, completeness, and consistency of institutional data.
Identify, investigate, and resolve data discrepancies across source systems, reporting environments, and analytical datasets.
Develop automated monitoring processes and exception reporting to proactively detect data quality issues.
Collaborate with data stewards and functional offices, recommending, establishing, and maintaining data standards and business rules.
Support institutional efforts to improve enterprise data governance and data stewardship practices.
Maintain system documentation, process documentation, technical specifications, and metadata.

System Maintenance and Support (20%)

Maintain and support enterprise data platforms, reporting databases, and data integration environments.
Monitor system performance, troubleshoot issues, and implement corrective actions to ensure reliability and availability.
Perform routine maintenance, upgrades, testing, and deployment activities for data infrastructure and integration processes.
Respond to technical support requests related to institutional reporting and analytics systems.
Assist with change management practices, backup procedures, disaster recovery, and business continuity planning related to institutional data systems.

Service Innovation (10%)

Research, evaluate, and recommend emerging technologies, tools, and methodologies that enhance institutional analytics and data management capabilities.
Identify opportunities to automate manual processes and improve operational efficiency.
Participate in the development of innovative reporting, dashboarding, and self-service analytics solutions.
Support modernization initiatives involving cloud technologies, advanced analytics, and data platform enhancements.
Contribute to continuous improvement efforts that increase the effectiveness of institutional data services.

Collaboration and Requirements Gathering (5%)

Partner with institutional research, information technology, academic units, administrative offices, and campus stakeholders to understand business needs and reporting requirements.
Serve as a technical expert, guiding strategy and technical solutions for institutional needs.
Participate in cross-functional project teams and working groups focused on institutional data initiatives.
Translate functional requirements into technical specifications and data solutions.
Provide consultation and technical guidance regarding data availability, structure, and reporting capabilities.
Support training and knowledge-sharing activities related to institutional data resources, mentoring junior engineers and technicians across the USC system.

Other Duties (5%)

Perform other duties assigned by the AVP for IT Enterprise AI, Data, and Research Computing, the Director of Institutional Data Analytics, or your supervisor in order to support the strategic and operational needs of the division, university, and university system.
Participate in professional development activities and maintain awareness of emerging trends, regulations, and recommended practices.
Support university committees, working groups, special projects, system-wide initiatives, and executive requests as needed.

Application Information

We are only accepting applications submitted by October 17, 2026.

EEO Statement

The University of South Carolina does not discriminate in employment opportunities or decisions for qualified persons on the basis of age, ancestry, citizenship status, color, disability, ethnicity, familial status, gender, gender identity or expression, genetic information, military status, national origin, pregnancy, race, religion, sex, sexual orientation, veteran status, or any other protected category under applicable law.

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