Data Engineer

University of Virginia

Charlottesville, VA

Full Time

Mid Level

88k-110k

12 days ago

Job Description

About the Role

The School of Engineering and Applied Science (SEAS) at the University of Virginia seeks an experienced mid-level Data Engineer to join the 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 Data Engineer 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. The team fosters a collaborative, agile, and inclusive culture that values continuous improvement and impact.

Key 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

Requirements

Bachelor's degree in Computer Science, Data Science, Information Systems, or related field (or experience may substitute for degree)
At least 3 years of experience in data engineering or a related field
Experience working with diverse data sources and ETL development
Strong knowledge of Python, PySpark, and data lake technologies
Ability to collaborate with stakeholders and support data governance
Excellent documentation skills for architecture, data lineage, and transformation logic

Nice to Have

Master's degree in a related field
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
Certifications in cloud technologies or data platforms (e.g., Microsoft Azure, Databricks)

Qualifications

Bachelor's degree in a related field or equivalent experience
Minimum of 3 years of experience in data engineering

Benefits & Perks

Salary range of $88,000 to $110,000 yearly, commensurate with education and experience
Exempt-level, benefited position
Hybrid work schedule of 2-3 days on Grounds per week with additional on-site presence as needed
UVA benefits