The Data Engineering and Architecture team is responsible for building and supporting UNCG’s enterprise data platform. The team develops reliable data pipelines, administers cloud-based services, and maintains the infrastructure that powers analytics and reporting across the University. In addition to day-to-day engineering, the team ensures the stability, security, and operational continuity of the University’s data environments.Position SummaryThis position serves as a Data Engineer within the Data Engineering and Architecture (DEA) team in Institutional Research and Enterprise Data Management (IREDM), a division of Information Technology Services (ITS). The individual will play a key role in designing, developing, and maintaining data pipelines; supporting Azure-based data services; and ensuring data quality, usability, accessibility, and performance.
- The position will leverage tools such as Azure Data Factory, Databricks, and Azure Data Lake Storage to deliver trusted data assets that support decision-making across all areas of the University, including student success, academic planning, finance, and research. This position is eligible for teleworking; however, some in-person assignments may be necessary at the supervisor’s discretion.Minimum QualificationsBachelor’s degree in a related discipline or 4+ years of professional experience in data engineering or related field or equivalent combination of education/experience.
- Additional Required Certifications, Licensures, and CertificatesPreferred QualificationsStrong SQL proficiency (T-SQL, Spark SQL) for analytics and troubleshooting.
- Experience with Azure SQL databases / RDBMS development and performance tuning skills.
- Hands on experience developing ETL/ELT data pipelines, administering and supporting the data warehousing and analytics infrastructure.
- Demonstrated experience in Databricks and Azure Data Factory or similar technologies (examples, Microsoft Fabric, Informatica, Snowflake, Qlik).
- Proficiency in Python for data engineering.
- Experience with Git and CI/CD practices for data pipeline deployment.
- Ability to document and communicate technical solutions to technical and non-technical stakeholders.
- Familiarity with Azure Data Lake Storage.
- Exposure to Infrastructure-as-Code concepts (Databricks Asset Bundles preferred; Terraform, Bicep, or ARM templates a plus).
- Experience with data modeling (dimensional/star schema).
- Familiarity with governance and metadata management tools.
- Knowledge of higher education data systems (student, HR, finance, etc.).
- Familiarity with data architecture concepts.
Special Instructions to ApplicantsRecruitment RangeSalary commensurate with experienceOrg #-DepartmentInfo Technology Services - 23101Job Open Date09/10/2026For Best Consideration DateJob Close DateOpen Until FilledYesFTE1.000Type of AppointmentPermanentIf time-limited, please specify end date for appointment.Number of Months per Year12FLSAExempt
