Data Engineer

Located in North Carolina's third largest city, UNC Greensboro is among the most diverse, learner-centered public research universities in the state, with 18,000 students in eight colleges and schools pursuing more than 150 areas of undergraduate and over 200 areas of graduate study. UNCG continues to be recognized nationally for academic excellence, access, and affordability. UNCG is ranked No. 1 most affordable institution in North Carolina for net cost by the N.Y. Times and No. 1 in North Carolina for social mobility by The Wall Street Journal - helping first-generation and lower-income students find paths to prosperity. Designated an Innovation and Economic Prosperity University by the Association of Public and Land-grant Universities, UNCG is a community-engaged research institution with a portfolio of more than $67M in research and creative activity. The University's 2,600 staff help create an annual economic impact for the Piedmont Triad region in excess of $1B.

Developing ETL/ ELT data pipelines, administering and supporting the cloud-based data warehousing, modeling, and analytics infrastructure.

This position is part of the Data Engineering and Architecture team in the Information Technology

Services department. The team is responsible for delivering a modern data warehousing infrastructure that enables data-driven decisions across the University. This position is responsible for developing & maintaining ETL/ ELT data pipelines for the enterprise data platforms; ensuring data quality readability, & accessibility of data assets; Ingesting & integrating data from various sources into the data platform; and collaborating with data consumers to provide the necessary data for the use case. This position will focus on the administration of Azure Data Lake, Azure Synapse, Microsoft Fabric, and other data engineering tools as the need arises. The Data Engineering and Architecture team is part of the Enterprise Technology Infrastructure that strives to connect, enable, and empower people through technology that transforms the University and the region. This position is expected to develop and maintain an expert skill level in cloud-first data technologies and work hands-on with the latest technologies.

This position is eligible for teleworking; however, some in-person assignments may be necessary at the supervisor's discretion.