Posting Details Position Information

Position Number 002944 Functional Title Data Engineer Position Type Staff Position Eclass EP - EHRA 12 mo leave earning University Information 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. Primary Purpose of the Organizational Unit Developing ETL/ELT data pipelines, administering and supporting the cloud-based data warehousing, modeling, and analytics infrastructure. Position Summary This position is part of the Data Engineering and Architecture team in the Information TechnologyServices 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. Minimum Qualifications Bachelor’s degree in a related discipline with 1-2 years experience in data engineering, data warehousing, database administration, data science, or system administration required. Proven experience with one or more modern programming languages such as C, C++, Java, Python, R, SQL, TSQL, PL/SQL. Working knowledge and 1-2 years of experience with public cloud infrastructures such as Microsoft, Azure, Google Cloud Platform (GCP), Oracle Cloud Infrastructure (OCI), or Amazon Web Services (AWS). Working knowledge of DevOps processes and procedures. Experience with Windows and Unix-based operating systems. Proven ability to communicate and present highly technical information with other non-technical staff. Additional Required Certifications, Licensures, and Certificates Preferred Qualifications 2+ years experience data management using Python. 2+ years experience with the Microsoft Azure cloud data infrastructure. Experience with Azure Data Lake / Lakehouse storage. Experience with Azure Synapse Analytics. Experience with Azure Data Factory. Experience with Azure SQL or SQL Server. Experience with Oracle databases. Experience with Microsoft Visual Studio. Experience with GIT Source Control. Experience with data modeling tools. Special Instructions to Applicants Recruitment Range Salary commensurate with experience Org #-Department Info Technology Services - 23101 Job Open Date 01/28/2025 For Best Consideration Date 02/04/2025 Job Close Date Open Until Filled Yes FTE 1.000 Type of Appointment Permanent If time-limited, please specify end date for appointment. Number of Months per Year 12 FLSA Exempt Key Responsibilities ________________________________________________________________________________________________________________________

Percentage Of Time 45 Key Responsibility Data Warehouse Engineer

Essential Tasks Develops, builds, and manages ETL/ELT pipelines for the ingestion of data sources into the data platforms. Collect and translate business requirements into data models. Securely manage cloud-based data platform infrastructure. Be an active participant in data warehousing and analytics projects. Proficiency in T-SQL, Azure Synapse, dimensional modeling, PySpark, and building data pipelines. Percentage Of Time 35 Key Responsibility Support the Enterprise Data Platform Essential Tasks Build, administers, maintains, & monitors the data estate by using data catalogs, governance, and security capabilities inherent within the data management platforms. Build, administers, maintains, & monitors the cloud-based data using the appropriate analytics tools. Actively optimizes for performance of processes and programs associated with the data platform. Examine new cloud technologies that may increase effectiveness and performance. Leveraging Azure services provide data integration, scalability, and enhanced usability of the UNCG’s data assets. Test and document data definitions. Develop technical documentation, including knowledge articles for internal and external users. Percentage Of Time 15 Key Responsibility Modernize and align automation of platform Essential Tasks Increase automation within the data platform and the products it provides by modernizing the DevOps pipelines and Infrastructure-as-Code (IaC) for managing the platform. Percentage Of Time 5 Key Responsibility Professional Development Essential Tasks Maintain a thorough knowledge of Cloud Platforms and Infrastructure. Stay up to date on technology trends, changing tools, mandates, policies, and standards. Attend professional development sessions, where applicable and cost-effective – which may include off­site week-long and/or virtual training sessions. ADA Checklist ADA Checklist

R for Rare (0-30%), O for Occasional (30-60%), F for Frequent (60-90%), C for Constant (90-100%).

Physical Effort Hand Movement-Repetitive Motions - F, Reading - f, Writing - f, Hearing - f, Talking - f, Sitting - f Work Environment Inside - c Applicant Documents Required Documents Resume/CV List of References Optional Documents Reference Letter 1 Reference Letter 2 Reference Letter 3 Supplemental Questions

Required fields are indicated with an asterisk (*).

* Are you eligible to work in the United States without sponsorship? Yes No * Please indicate how you learned of the vacant position for which you are applying? UNCGjobsearch Website Greensboro News and Record Other newspaper The Chronicle of Higher Education Inside Higher Ed Other Professional Journal/Website CUPA-HR UNC System Job Board Other Job Board Personal Networking Social Media NCWorks.gov * Other: Please list

(Open Ended Question)