Enterprise Data Engineer

About the Department

Enterprise Application Services (EAS) is in the Office of Information Technology (OIT) division at North Carolina State University. EAS is responsible for the design, implementation, operation, enhancement & maintenance of the University’s enterprise business applications, databases, data warehouses, and business intelligence/analytics platforms. This includes: development, operation & maintenance of all enterprise administrative systems (Financials, HR, MyPack Portal, Non-Credit (REPORTER), Research Administration (RED), and Student Information Systems, Business Intelligence, etc.), configuration management, maintenance, enhancements, and application integration.

Wolfpack Perks and Benefits

As a Pack member, you belong here, and can enjoy exclusive perks designed to enhance your personal and professional well‑being.

• Medical, Dental, and Vision
• Flexible Spending Account
• Retirement Programs
• Disability Plans
• Life Insurance
• Accident Plan
• Paid Time Off and Other Leave Programs
• 12 Holidays Each Year
• Tuition and Academic Assistance
• And so much more!

Attain work‑life balance with our Childcare benefits, Wellness & Recreation Membership, and Wellness Programs that aim to build a thriving wolfpack community.

Disclaimer: Perks and Benefit eligibility is based on Part‑Time or Full‑Time Employment status. Eligibility and Employer Sponsored Plans can be found within each of the links offered.

Essential Job Duties

Enterprise Application Services (EAS) in the Office of Information Technology seeks a Data Engineer for our Enterprise Data Platform team. This position conducts the technical design, development, and operational support of the University’s centralized repository of enterprise data assets.

The position is responsible for building and maintaining an efficient and scalable data platform solution that enables business intelligence and analytics solutions that provide actionable data to campus. The Enterprise Data Engineer collaborates with the data architect, enterprise application developers, data analysts, and BI content developers to build the data platform infrastructure that is needed for data‑driven decision‑making across the University.

This posting is for permanent NC State University employees only.

Other Responsibilities

Other tasks and responsibilities may be assigned based on the needs of the organization and evolving priorities.

Qualifications

Minimum Education and Experience

• Master’s degree in data science and at least two years of relevant experience; or
• Bachelor’s degree and five years of relevant experience; or
• An equivalent combination of education, training and relevant experience.

Other Required Qualifications

• Proficiency in data engineering concepts, warehouse, data modeling, and ETL, and modern data platform/cloud approaches such as lakehouses, pipelines, and ELT, with experience integrating heterogeneous data sources into coherent data structures
• Experience developing in a structured Software Development Lifecycle environment
• Proficiency in RDBMS, SQL, database design principles
• Excellent problem solving, analytical and evaluative skills with an ability to resolve complex, difficult technical issues
• Excellent verbal and written communication skills in both technical and non‑technical subjects including the ability to communicate effectively with peers, management, and senior management.

Preferred Qualifications

• Proven experience building data platform structures in a Data Engineering role on a variety of platforms and toolsets with particular preference for experience with Microsoft Fabric, and/or Azure Synapse, Data Factory, Data Lake, or Databricks
• Experience building data platforms in a higher education environment, including familiarity with data structures specific to the academic and administrative operations of a large research university
• Experience with Oracle database design and development, particularly in a warehouse or data mart context, and SQL, PL/SQL
• Knowledge of Oracle database performance optimization
• Thorough knowledge of analytics platforms and data visualization toolsets, such as Power BI, Tableau, SAS Visual Analytics, etc.
• Advanced programming skills in languages such as Python, Java, and data analysis and manipulation languages like SAS, PL/SQL and DAX
• Experience building and maintaining data pipelines, using technologies such as PySpark in Fabric or Azure Databricks
• Certification(s) in Data Architecture, Big Data, Data Engineering, Integrations, and other relevant technologies
• Experience working in agile project management environments