Enterprise Data Engineer, Institutional Analytics

University of South Carolina; South Carolina; On-site; USD 78,000 - 118,000; Full time

Benefits offered by this job

Health and life insurance

Generous retirement programs

Paid tuition

Annual leave

Sick leave

13 paid holidays

Job summary

University of South Carolina is seeking an Institutional Data Engineer to design, develop, and maintain enterprise data infrastructure and integration processes supporting analytics across the university ecosystem.

The role focuses on ETL/ELT pipelines, data quality, governance, and system modernization while ensuring reliability and availability of reporting platforms for Columbia campus and USC system institutions.

Qualifications

• Bachelor’s degree in a job-related field and 3 or more years of job-related experience; equivalent certifications or training may substitute.
• Strong problem-solving and communication skills; ability to work well across distributed teams.
• Proficiency in SQL, relational databases, ETL/ELT technologies, and data warehousing.
• Strategic vision and operational excellence to support IT service delivery.
• Comfort working collaboratively in a culture that values curiosity and innovation.

Responsibilities

• Provide scalable and reliable access to institutional data.
• Improve data accuracy, completeness, and consistency.
• Modernize the institution’s analytics capabilities.
• Lead enterprise-wide data engineering and integration projects as directed.
• Design, develop, and maintain enterprise data pipelines, ETL/ELT processes, system integrations, and automated workflows for institutional reporting and analytics.
• Collaborate with data architects to set technical standards and architect data models, data warehouses, and curated datasets.
• Create and optimize database objects, including views and stored procedures, to improve performance.
• Monitor and enhance data architecture for reliable data access.
• Support data integration across the Columbia campus and USC system institutions.
• Implement data validation, reconciliation, and quality assurance processes.

Skills

SQL

Data warehousing

ETL/ELT

Relational databases

Communication

Team collaboration

Education

Bachelor’s degree in data-related field

Tools

IBM DataStorage

Informatica

SSIS

Cognos

Tableau

PowerBI

Job description

University of South Carolina is seeking an Institutional Data Engineer to design, develop, and maintain enterprise data infrastructure and integration processes supporting analytics across the university ecosystem.

The role focuses on ETL/ELT pipelines, data quality, governance, and system modernization while ensuring reliability and availability of reporting platforms for Columbia campus and USC system institutions.