Posting Details

Position Information

Position Number
999509

Functional Title
Data Platform Engineer

Position Type
Staff

Position Eclass
EP - EHRA 12 mo leave earning

Primary Purpose of the Organizational Unit

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 Summary

This 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 Qualifications

• Bachelor'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 Certificates

Preferred Qualifications

• Strong 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 Applicants

Recruitment Range
Salary commensurate with experience

Org #-Department
Info Technology Services - 23101

Job Open Date
09/10/2026

For Best Consideration Date

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