Overview
On Site
Full Time
Skills
Innovation
Teaching
Research
Leadership
Continuous Improvement
Science
Data Warehouse
Data Architecture
Analytical Skill
Extract
Transform
Load
Python
PySpark
Microsoft
Management
Data Lake
Analytics
Reporting
Semantics
Microsoft Power BI
Dashboard
Collaboration
Data Governance
Quality Assurance
Regulatory Compliance
Artificial Intelligence
Computer Science
Data Science
Information Systems
Data Engineering
Higher Education
API
Web Services
Agile
Data Quality
scikit-learn
Cloud Computing
Microsoft Azure
Databricks
Immigration
PDF
Workday
Job Details
Posting Title
Data Engineer, School of Engineering and Applied Science
Department Overview
The School of Engineering and Applied Science (SEAS) at the University of Virginia drives innovation in teaching, research, and service to society. The Data and Platform Services team empowers faculty, staff, and leadership with modern, accessible, and trusted data systems. We foster a collaborative, agile, and inclusive culture that values continuous improvement and impact.
Position Summary
The School of Engineering and Applied Science (SEAS) at the University of Virginia seeks an experienced mid-level Data Engineer to join our Data and Platform Services team. This position will report to the Director of Data and Platform Services and will play a critical role in building and maintaining the school's data warehouse using Microsoft Fabric data lake technologies. The ideal candidate will have strong ETL development skills and experience working with diverse data sources to create a unified data architecture that supports the school's analytical needs.
Responsibilities
Education: Bachelor's degree in Computer Science, Data Science, Information Systems, or related field. Experience may substitute for degree.
Experience: At least 3 years of experience in data engineering or a related field.
Licensure/Certifications: None required.
Preferred Qualifications
Education: Master's degree in a related field
Experience:
Physical Demands
This is primarily a sedentary job involving extensive use of desktop computers. The job occasionally requires traveling some distance to attend meetings and programs.
Salary Range ( 88-110k yearly)
Salary will be commensurate with education and experience.
Position Type & Work Location
Exemption Status: This is an exempt-level, benefited position. Learn more about UVA benefits.
Work Arrangement: This position is based in Charlottesville, VA, and is eligible for a hybrid schedule of 2-3 days on Grounds per week, with additional on-site presence as needed, in accordance with UVA's remote work guidelines.
About UVA and the Community
To learn more about UVA and the Charlottesville area, visit UVA Life and Embark CVA .
Application Timeline
Application review will begin after July 7, 2025.
Additional Requirements
Background Check: Background checks will be conducted on all new hires prior to employment.
Visa Sponsorship: This position will not consider candidates who require immigration sponsorship now or in the future.
How to Apply
Please apply Online , by searching for requisition number R0073764. Complete an application with the following documents:
Internal applicants: Apply through your Workday profile by searching "Find Jobs."
Reference Check Process
Reference checks will be completed by UVA's third-party partner, SkillSurvey, during the final phase of the interview. Five references will be requested, with at least three responses required.
Contact
For questions about the application process, please contact: Bill Crane, Senior Recruiter, at
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Click here to read more about UVA's commitment to non-discrimination and equal opportunity employment.
Data Engineer, School of Engineering and Applied Science
Department Overview
The School of Engineering and Applied Science (SEAS) at the University of Virginia drives innovation in teaching, research, and service to society. The Data and Platform Services team empowers faculty, staff, and leadership with modern, accessible, and trusted data systems. We foster a collaborative, agile, and inclusive culture that values continuous improvement and impact.
Position Summary
The School of Engineering and Applied Science (SEAS) at the University of Virginia seeks an experienced mid-level Data Engineer to join our Data and Platform Services team. This position will report to the Director of Data and Platform Services and will play a critical role in building and maintaining the school's data warehouse using Microsoft Fabric data lake technologies. The ideal candidate will have strong ETL development skills and experience working with diverse data sources to create a unified data architecture that supports the school's analytical needs.
Responsibilities
- Design, build, and maintain ETL pipelines using Python, PySpark, and Microsoft Fabric
- Develop and manage data lake architecture and data models for analytics and reporting
- Create semantic models and reusable data assets for Power BI dashboards
- Collaborate with stakeholders to understand and meet data needs
- Support data governance, quality assurance, and compliance efforts
- Document architecture, data lineage, and transformation logic for transparency
- Explore AI and LLM tools for future enhancements to data access and insight delivery
Education: Bachelor's degree in Computer Science, Data Science, Information Systems, or related field. Experience may substitute for degree.
Experience: At least 3 years of experience in data engineering or a related field.
Licensure/Certifications: None required.
Preferred Qualifications
Education: Master's degree in a related field
Experience:
- Experience working with higher education data systems
- Familiarity with API integration and web services
- Exposure to agile development methodologies and data quality frameworks
- Experience with LLMOps, scikit-learn, MLFlow
Physical Demands
This is primarily a sedentary job involving extensive use of desktop computers. The job occasionally requires traveling some distance to attend meetings and programs.
Salary Range ( 88-110k yearly)
Salary will be commensurate with education and experience.
Position Type & Work Location
Exemption Status: This is an exempt-level, benefited position. Learn more about UVA benefits.
Work Arrangement: This position is based in Charlottesville, VA, and is eligible for a hybrid schedule of 2-3 days on Grounds per week, with additional on-site presence as needed, in accordance with UVA's remote work guidelines.
About UVA and the Community
To learn more about UVA and the Charlottesville area, visit UVA Life and Embark CVA .
Application Timeline
Application review will begin after July 7, 2025.
Additional Requirements
Background Check: Background checks will be conducted on all new hires prior to employment.
Visa Sponsorship: This position will not consider candidates who require immigration sponsorship now or in the future.
How to Apply
Please apply Online , by searching for requisition number R0073764. Complete an application with the following documents:
- Resume
- Cover Letter
Internal applicants: Apply through your Workday profile by searching "Find Jobs."
Reference Check Process
Reference checks will be completed by UVA's third-party partner, SkillSurvey, during the final phase of the interview. Five references will be requested, with at least three responses required.
Contact
For questions about the application process, please contact: Bill Crane, Senior Recruiter, at
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Click here to read more about UVA's commitment to non-discrimination and equal opportunity employment.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.