Cloud Data Engineer for Enterprise Analytics

Virginia Polytechnic Institute and State University (VT); Blacksburg (VA); On-site; USD 95,000 - 103,000; Full time

Job summary

Virginia Tech is seeking a Data and Analytics Engineer to design, develop, and support enterprise data products, cloud data pipelines, and analytics solutions across the university.

In a modern cloud data ecosystem, the role uses Snowflake, AWS, and Power BI to transform institutional data into trusted assets that support self-service analytics, research, and strategic decision-making.

Qualifications

• Master's degree or equivalent in a related field.
• Experience designing, developing, supporting, and optimizing enterprise data, reporting, and analytics solutions.
• Significant experience with programming languages such as Python or SQL.
• Strong SQL and experience with relational data platforms (Oracle, Postgres, Snowflake).
• Experience translating business requirements into scalable data solutions.
• Experience developing data transformations and data pipelines.
• Experience with cloud-based data platforms (AWS).
• Knowledge of data modeling, data quality, metadata, governance, and security.

Responsibilities

• Design, develop, and support enterprise data products and cloud data pipelines.
• Collaborate with stakeholders to transform data into trusted assets for analytics and decision-making.
• Support AI initiatives and self-service analytics across the university.
• Develop scalable, secure data solutions in a modern cloud data ecosystem.

Skills

Python

SQL

Snowflake

AWS

Power BI

Data modeling

Data governance

Data quality

Metadata management

Communication

Education

Master's degree or equivalent

Tools

Snowflake

AWS

Power BI

Oracle

PostgreSQL

Git

Airflow

Terraform

Job description

Virginia Tech is seeking a Data and Analytics Engineer to design, develop, and support enterprise data products, cloud data pipelines, and analytics solutions across the university.

In a modern cloud data ecosystem, the role uses Snowflake, AWS, and Power BI to transform institutional data into trusted assets that support self-service analytics, research, and strategic decision-making.