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Job Description

Virginia Tech is seeking an Associate Data and Analytics Engineer to support the development,
maintenance, and operation of enterprise data, analytics, and reporting solutions that enable institutional reporting, decision support, and
data-informed decision-making across the university.


Working under the guidance of senior data and analytics professionals, this
position will assist with developing data pipelines, supporting cloud-based data platforms, maintaining enterprise data assets, and creating
reports, dashboards, and analytical solutions. The position provides an early-career professional with opportunities to develop proficiency
in enterprise data management, analytics engineering, business intelligence, and cloud data platform operations using technologies such as
Snowflake, AWS, SQL, Python, and Power BI.

Why Join Virginia Tech Join a team that is building the next generation of enterprise data
and analytics capabilities at one of the nation’s leading R1 research universities. In this role, you will work with modern cloud data
technologies, Snowflake, advanced analytics, and emerging AI capabilities while helping enable research, student success, academic
operations, and institutional decision-making at enterprise scale.



Key Responsibilities

  • Support the day-to-day operation of
    enterprise data and analytics platforms, including monitoring scheduled jobs, data pipelines, reports, dashboards, and platform services.
  • Assist with troubleshooting data quality, integration, performance, and platform issues, escalating complex matters to senior
    team members as appropriate.
  • Participate in incident response, issue resolution, service restoration, monitoring, alerting, and
    operational automation activities.
  • Assist in developing, maintaining, testing, and monitoring data pipelines, integrations, and
    ETL/ELT workflows supporting Snowflake-based analytics solutions.
  • Support the creation and maintenance of enterprise data assets,
    data models, and transformations used for institutional reporting and analytics.
  • Develop SQL queries and scripts for data
    processing, reporting, analytics, validation, and operational needs.
  • Perform data validation, testing, reconciliation, and
    quality assurance to support the accuracy, completeness, and reliability of enterprise data.
  • Apply established data governance,
    metadata, data quality, security, privacy, and access-control standards and practices.
  • Assist with developing and maintaining
    dashboards, reports, visualizations, and self-service analytics solutions using approved enterprise tools.
  • Work with business and
    technical staff to understand reporting and analytics requirements and participate in report validation, user testing, and solution
    implementation.
  • Provide customer support and guidance related to enterprise reporting and analytics services.
  • Contribute to technical documentation, operational procedures, training materials, user adoption, knowledge sharing, and continuous
    improvement initiatives.

Required Qualifications


  • Bachelor’s degree in Computer Science,
    Information Technology, Information Systems, Business, Data Analytics, or a related field, or an equivalent combination of education,
    training, and experience.
  • Foundational knowledge of data management, reporting, analytics, or business intelligence concepts.
  • Experience writing scripts, version control (GIT) and the development life cycle.
  • Experience developing SQL queries
    and working with relational databases.
  • Experience supporting software applications, data solutions, reporting systems, or
    analytics platforms through coursework, internships, student employment, or professional experience.
  • Ability to learn new
    technologies, business processes, and technical concepts.
  • Demonstrated ability to communicate technical concepts and information
    effectively to both technical and non-technical audiences.
  • Demonstrated analytical, troubleshooting, and problem-solving skills.
  • Demonstrated ability to organize work, manage multiple priorities, adapt to changing business needs, and complete assigned
    responsibilities within established timelines.

Preferred Qualifications

  • Exposure to cloud data
    platforms such as Snowflake or comparable technologies.
  • Experience with a code release process (DevOps)
  • Experience
    developing reports, dashboards, or data visualizations.
  • Exposure to Python, automation, or data processing workflows.
  • Familiarity with ETL/ELT, data modeling, data warehousing, or analytics engineering concepts.
  • Experience with reporting or BI
    tools such as Power BI, Tableau, MicroStrategy, or similar platforms.
  • Experience gained through internships, assistantships,
    capstone projects, student employment, or professional work.
  • Familiarity with higher education data domains or enterprise
    administrative systems.
  • Demonstrated ability to collaborate effectively with cross-functional teams, stakeholders and data
    stewards, while completing assigned work with appropriate guidance.


Overtime Status

Exempt: Not
eligible for overtime

Appointment Type



Regular

Salary Information


$62,665 –
$76,590


Hours per week


40


Review Date


8/18/2026

Additional
Information


No visa sponsorship is available for this position.

The successful candidate will be required to have a
criminal conviction check.


About Virginia Tech


Dedicated to its motto, Ut Prosim (That I May Serve),
Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and
problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia
Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university
offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of
medicine
, a veterinary medicine college, Graduate
School
, and Honors College. The university has a significant presence across Virginia,
including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and
Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts
more than $650 million in research annually.



Virginia Tech endorses and encourages participation in professional development
opportunities and university shared governance. These valuable contributions to university shared
governance provide important representation and perspective, along with opportunities for unique and impactful professional development.

Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including
pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race,
religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or
disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.


If you are
an individual with a disability and desire an accommodation, please contact IT Human Resources at ithr@vt.edu during regular business hours at least 10 business days prior to the event.

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