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# Data Platform Engineer

- **Company:** The University of North Carolina
- **Location:** Greensboro, NC, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Microsoft Azure, Databases, Continuous Integration, Data as a Services, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Warehousing, Relational Databases, Digital Assets, Apache Hive, Python (Programming Language), Meta-Data Management, SQL Azure, Performance Tuning, Azure Data Lake, Transact-SQL, Enterprise Data Management, Azure Data Factory, Informatica Powercenter, Snowflake, Git, Microsoft Fabric, Information Technology, Qlikview, Star Schema, Bicep, Terraform, Data Pipelines, Databricks
- **Published:** September 12, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18252434?backUrl=%2Fcareer%2F18252434%2FData-Platform-Engineer-North-Carolina-Greensboro

## About the Role

* 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.

## Description

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.


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