Associate Data & Analytics Engineer: Cloud & BI

Virginia Tech; Blacksburg (VA); On-site; USD 63,000 - 77,000; Full time

Job summary

Virginia Tech is seeking an Associate Data and Analytics Engineer to support the development, maintenance, and operation of enterprise data, analytics, and reporting solutions that enable institutional reporting, decision support, and data-informed decision-making across the university.

Working with senior data professionals, you will develop data pipelines, support cloud platforms, maintain data assets, and create reports, dashboards, and analytics solutions using Snowflake, AWS, SQL, Python,

Qualifications

• Bachelor's degree or equivalent combination of education and experience.
• Foundational knowledge of data management, reporting, analytics, or BI concepts.
• Experience writing scripts and using version control (Git).
• Experience developing SQL queries and working with relational databases.
• Experience supporting software applications, data solutions, reporting systems, or analytics platforms.
• Ability to learn new technologies and communicate technical information effectively.
• Demonstrated analytical, troubleshooting, and problem-solving skills.
• Ability to manage multiple priorities and meet deadlines.

Responsibilities

• Support the day-to-day operation of enterprise data and analytics platforms, including monitoring jobs, pipelines, reports, and services.
• Troubleshoot data quality, integration, performance, and platform issues; escalate when needed.
• Participate in incident response, issue resolution, and operational automation.

Skills

Analytical skills

Troubleshooting

Communication skills

Time management

Education

Bachelor's degree in Computer Science, IT, IS, Business, Data Analytics, or related field

Tools

Snowflake

AWS

Power BI

Python

SQL

Job description

Virginia Tech is seeking an Associate Data and Analytics Engineer to support the development, maintenance, and operation of enterprise data, analytics, and reporting solutions that enable institutional reporting, decision support, and data-informed decision-making across the university.

Working with senior data professionals, you will develop data pipelines, support cloud platforms, maintain data assets, and create reports, dashboards, and analytics solutions using Snowflake, AWS, SQL, Python,