Data and Analytics Engineer

Job Description

The Data and Analytics Engineer role is responsible for designing developing and supporting enterprise data products cloud data pipelines and analytics solutions that enable institutional reporting decision support advanced analytics and AI initiatives across Virginia Tech.

Working within the universitys modern cloud data ecosystem the position develops scalable and secure data solutions utilizing Snowflake AWS Power BI and related technologies. This role partners with business stakeholders data stewards and technical teams to transform institutional data into trusted governed and reusable data assets that support self-service analytics operational excellence research and strategic decision-making.

This position supports Virginia Techs enterprise data and analytics strategy through the development and support of modern cloud-based data solutions.

Required Qualifications

Masters degree or a combination of education training and progressive experience that equates to a Masters degree.
Working experience designing developing supporting and optimizing enterprise data reporting and analytics solutions.
Significant experience with programming scripting or automation technologies used in data engineering and analytics environments such as Python SQL or similar tools.
Significant experience with relational databases (Oracle Postgres or Snowflake) and advanced SQL.
Working experience with SQL development data transformation query optimization and working with enterprise-scale relational and analytical data platforms.
Working experience translating business requirements into scalable technical solutions that support data management reporting analytics and decision-making needs.
Working experience developing and supporting data transformation data pipelines or enterprise data platforms.
Experience working with cloud-based data analytics or enterprise application platforms.
Experience with data modeling data quality management metadata management data governance and enterprise data security principles.
Demonstrated analytical troubleshooting and problem-solving skills.
Demonstrated ability to communicate effectively with technical and non-technical audiences and collaborate across cross-functional teams.
Demonstrated ability to manage multiple priorities and deliver high-quality solutions in a dynamic environment.

Preferred Qualifications

Experience designing implementing and supporting Snowflake-based data platforms in a production environment.
Experience utilizing Snowflake platform capabilities such as Snowpark Dynamic Tables Streams and Tasks Data Sharing Horizon Catalog and Governance and Cortex AI services.
Experience with analytics engineering and modern data stack technologies such as dbt or similar transformation frameworks.
Experience supporting DataOps practices including automated testing deployment pipelines monitoring observability and operational automation.
Experience using workflow orchestration technologies such as Apache Airflow or comparable tools.
Experience working with infrastructure-as-code technologies such as Terraform.
Experience supporting machine learning predictive analytics artificial intelligence or generative AI initiatives.
Experience developing enterprise data products semantic models or reusable analytics assets that support self-service analytics and institutional decision-making.
Experience in integrating enterprise applications SaaS platforms and APIs with modern cloud data platforms.
Experience working with higher education data domains including student finance human resources advancement research or academic operations.
Experience developing dashboards reports semantic models or self-service analytics solutions using enterprise business intelligence platforms such as Power BI Tableau MicroStrategy or comparable technologies.
Experience using source control and collaborative development practices with tools such as Git or comparable platforms.
Experience supporting software development lifecycles including solution design development testing deployment documentation and operational support activities.
Experience developing and supporting cloud-based data platforms data integration processes and data pipelines using AWS or comparable cloud technologies.
Experience developing maintaining and supporting data pipelines ETL/ELT processes and related data engineering solutions that enable reporting analytics and business operations.

Overtime Status

Exempt: Not eligible for overtime

Appointment Type

Regular

Salary Information

$95000 - $102750

Hours per week

40

Review Date

8/18/26

Additional Information

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

Sponsorship is not available for this position.

About Virginia Tech

Dedicated to its mottoUt 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 aninclusive communitydedicated to knowledge discovery and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36000 undergraduate graduate and professional students in eightundergraduate colleges aschool of medicine aveterinary medicinecollegeGraduate School andHonors 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 numerousExtension officesandresearch 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.