Data Engineer, Darden School of Business
Job ID: R0040009 | Systems Engineering, Design and Development | Full Time | Charlottesville, VA
The University of Virginia Darden School of Business, one of the world's leading business schools, seeks a Database Engineer to join the Office of Research Services (ORS) in a two-year assignment. The role interfaces with the Strategic IT Data & Analytics unit, partnering with data architects and other IT professionals to assist in carrying out the School's research mission.

Reporting to the Director of ORS, this individual will design and build modern big data architectures in Azure to support faculty research with an eye toward eventually launching a new faculty research-centered Darden Data Lab.

The Data Engineer will interface directly with the faculty to understand research needs and make recommendations to senior leadership of ORS and Data & Analytics on strategic direction. This is a hands-on development role and will be responsible for the creation, maintenance, scalability, performance, and reliability of various data models.

This is a two-year assignment with benefits. The Data Engineer may work either on site in Charlottesville, VA or remotely.

  • Lead the design, implementation, and support of all data engineering-related tasks for Darden faculty researchers.
  • Design and implement data load processes from disparate data sources into Azure Data Lake, Azure Synapse.
  • Migrate existing processes and data sets from on-premises SQL Server and other environments to Azure Synapse, Azure Data Lake in support of faculty research projects.
  • Perform unit testing and peer reviews with Strategic IT team to make sure code is rigorously designed and effectively tuned for performance.
  • Serve as administrative contact for a forthcoming Darden Data Lab, monitor usage of the lab's resources, and maintain awareness of incremental usage costs and service constraints. Make recommendations for resource allocation and cost recovery policiies to ORS and Strategic IT management.
  • Provide user training for faculty and researchers to navigate and work within the Darden Data Lab environment(s).
  • Become a data domain expert for all research data in the Azure environment.
  • Led by faculty, develop experimental and predictive models to support faculty research.
  • As directed by faculty, analyze new and existing data after extracting, transforming, and combining it.
  • Develop and maintain user-facing documentation for datasets created.
  • Assist and advise faculty and researchers with integrating Darden Data Lab capabilities into their research analytical processing.
  • Collaborate with faculty, a strong social science research team, and a team of developers with deep experience in data management.
  • Participate with Strategic IT team in sprint planning and provide inputs on effort estimation.

Professional Experience and Education:
  • Because this is a hands-on role that requires contribution both to Darden's IT capabilities and to faculty research, this candidate must have strong computer science or engineering skills competencies, as well as familiarity with social sciences, economics, or finance research. An ability to help faculty design databases and analytical tools that will serve their research needs is required. The ability to counsel with faculty about their research projects and to be a credible expert in determining the mix of IT infrastructure and tools that will allow them to meet those needs is crucial.
  • Bachelor's degree in computer science, MIS, computer engineering, or related discipline and at least seven years of relevant experience required. Relevant experience may be considered in lieu of a degree.
  • Knowledge and experience with SQL and data analysis required.
  • Highly self-motivated to deliver both independently and with strong team collaboration.
  • Strong written and oral communications, along with presentation and interpersonal skills.
  • Strong skills in working with Microsoft Office (Word, PowerPoint, Excel etc.).
  • Excellent verbal and written communication skills to convey technical guidance and information to users and to provide excellent customer service.

Preferred Experience:
  • 5+ years of experience working as a data engineering team member.
  • 3+ years of experience with writing SQL.
  • 3+ years of cloud experience in Azure: Azure Data Factory, Azure Databricks, Azure Data Lake, Azure Synapse, Azure DevOps, Azure Machine Learning, and automation experience.
  • 2+ years of experience with building predictive models.
  • 1+ years of experience with Spark.
  • 1+ years of experience with PowerBI.
  • Familiarity with SSIS, SSAS, SSRS.
  • Understanding of BI/DW methodology and techniques.

This position will remain open until filled.


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Contact me about flexible or remote work.
Rhiannon Michelle O'Coin
Rhiannon Michelle O'Coin
Senior Recruiter
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Charlottesville, VA
Charlottesville, VA 22903
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Rhiannon Michelle O'Coin
Rhiannon Michelle O'Coin
Senior Recruiter
Connect on LinkedIn

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