Data and Analytics Engineer
Analytics
Apache Airflow
Artificial Intelligence
Automation
Business Analytics
Business Intelligence
Cloud
Cloud Data Warehouse
Cloud Infrastructure
Cloud Operations
Cloud Platform
Cloud Platforms
Cloud Technology
Collaboration
Data
Data Analysis
Data Analytics
Data Architecture
Data Build Tool
Data Engineer
Data Engineering
Data Integration
Data Management
Data Modeling
Data Operations
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Visualization
Data Warehouse
Data Warehousing
Database
Databases
DevOps
DevSecOps
Digital Marketing
ETL
Informatica
Information Technology (IT)
Infrastructure As Code
Microsoft
Oracle
PostgreSQL
Power BI
Power Platform
Reporting and Analytics
Snowflake
Software Development
SQL
Visual Design
Job Description
Join Virginia Tech to design and support enterprise data products and analytics capabilities in a modern cloud environment.
Responsibilities
- Design, develop, and support enterprise data products, cloud data pipelines, and analytics solutions supporting institutional reporting, decision support, advanced analytics, and AI initiatives across Virginia Tech
- Build scalable and secure data solutions using Snowflake, AWS, Power BI, and related technologies
- Partner with business stakeholders, data stewards, and technical teams to produce trusted, governed, and reusable data assets for self-service analytics, operational excellence, research, and strategic decision-making
- Support the enterprise data and analytics strategy through the development and ongoing support of modern cloud-based data solutions
Requirements
- Master’s degree, or a combination of education, training, and progressive experience that is equivalent to a Master’s 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 (for example, Python, SQL, or similar tools)
- Significant experience with relational databases (such as Oracle, Postgres, or Snowflake) and advanced SQL
- Working experience with SQL development, data transformation, query optimization, and enterprise-scale relational and analytical data platforms
- Working experience translating business requirements into scalable technical solutions for data management, reporting, analytics, and decision-making
- 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
Technologies
- Snowflake
- AWS
- Power BI
- Python
- SQL
- Oracle
- Postgres
- Snowpark
- Dynamic Tables
- Streams and Tasks
- Data Sharing
- Horizon Catalog and Governance
- Cortex AI services
- dbt
- Apache Airflow
- Terraform
- Git
Preferred Qualifications
- Experience designing, implementing, and supporting Snowflake-based data platforms in a production environment
- Experience using Snowflake capabilities including 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 tools such as Apache Airflow (or comparable technologies)
- Experience with infrastructure-as-code using 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 integrating enterprise applications, SaaS platforms, and APIs with modern cloud data platforms
- Experience with higher education data domains including student, finance, human resources, advancement, research, or academic operations
- Experience building dashboards, reports, semantic models, or self-service analytics solutions using enterprise business intelligence tools such as Power BI, Tableau, MicroStrategy, or comparable technologies
- Experience using source control and collaborative development practices with Git (or comparable platforms)
- Experience supporting software development lifecycles, including solution design, development, testing, deployment, documentation, and operational support activities
- Experience developing, maintaining, 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 enabling reporting, analytics, and business operations
Additional Information
- Location: Blacksburg, VA (hybrid)
- Appointment Type: Regular
- Work Hours: 40 hours per week
- Salary: $95,000 - $102,750 per year
- Overtime Status: Exempt (not eligible for overtime)
- Review Date: 8/18/26
- Criminal conviction check required
- Sponsorship not available
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