Associate Data and Analytics Engineer

Virginia Tech is hiring an Associate Data and Analytics Engineer to help power enterprise data, analytics, and reporting solutions in a hybrid work setting from Blacksburg, VA. In this role, you will support day-to-day platform operations and assist in building data pipelines and cloud-based analytics capabilities, working under guidance from senior professionals.

Role focus

• Support enterprise data and analytics platforms by monitoring scheduled jobs, data pipelines, reports, dashboards, and related platform services.
• Assist with troubleshooting data quality, integration, performance, and platform issues, escalating more complex items as needed.
• Participate in incident response and operational activities, including monitoring, alerting, issue resolution, service restoration, and operational automation.
• Contribute to the development, maintenance, testing, and monitoring of data pipelines, integrations, and ETL/ELT workflows for Snowflake-based analytics.
• Help create and maintain 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 accurate, complete, and reliable enterprise data.
• Apply established standards for data governance, metadata, data quality, security, privacy, and access control.
• Assist in 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 for enterprise reporting and analytics services.
• Support technical documentation, operational procedures, training materials, user adoption activities, knowledge sharing, and continuous improvement efforts.

Required qualifications

• Bachelor's degree in Computer Science, Information Technology, Information Systems, Business, Data Analytics, or related, 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 software 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 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.

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.

Work arrangement, pay, and appointment details

• Location: Blacksburg, VA (hybrid)
• Salary: USD 62,665 - 76,590 per yearly (salary information: $62,665 - $76,590)
• Hours: 40 hours per week
• Appointment type: Regular
• Overtime status: Exempt: not eligible for overtime
• 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.