Associate Data and Analytics Engineer

Virginia Tech is seeking an Associate Data and Analytics Engineer to help power enterprise data, analytics, and reporting capabilities for institutional stakeholders. This hybrid role in Blacksburg, VA supports day-to-day platform operations while assisting in the creation and validation of data pipelines, dashboards, and analytical solutions under guidance from senior team members.

What you will do

• Support the day-to-day operation of enterprise data and analytics platforms, including monitoring scheduled jobs, data pipelines, reports, dashboards, and related platform services.
• Assist with troubleshooting data quality, integration, performance, and platform issues, escalating complex problems to senior professionals as needed.
• Participate in incident response and issue resolution activities, including service restoration, monitoring, alerting, and operational automation.
• Help develop, maintain, test, and monitor data pipelines, integrations, and ETL/ELT workflows that support Snowflake-based analytics.
• Support the creation and maintenance of enterprise data assets, data models, and transformations used for institutional reporting and analytics.
• Write SQL queries and scripts for data processing, reporting, analytics, validation, and operational needs.
• Perform data validation, testing, reconciliation, and quality assurance to help ensure data accuracy, completeness, and reliability.
• Apply established data governance, metadata, data quality, security, privacy, and access-control standards and practices.
• Assist with building and maintaining dashboards, reports, visualizations, and self-service analytics using approved enterprise tools.
• Collaborate with business and technical staff to understand reporting and analytics requirements, including 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 efforts.

What you bring

• A 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, using version control (GIT), and working with 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.
• Ability to communicate technical information effectively to technical and non-technical audiences.
• Analytical, troubleshooting, and problem-solving skills.
• Ability to organize work, manage multiple priorities, adapt to changing needs, and complete responsibilities within established timelines.

Tools and technologies

• Snowflake
• AWS
• SQL
• Python
• Power BI
• GIT
• ETL/ELT
• Snowflake-based analytics
• DevOps
• Tableau
• MicroStrategy

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.

Location: Blacksburg, VA (hybrid)

Appointment type: Regular

Hours per week: 40

Salary: USD 62,665 - 76,590 (yearly)

Overtime status: Exempt (not eligible for overtime)

Review date: 8/18/2026

Additional information: No visa sponsorship is available. A criminal conviction check is required.