Job Description

Summary:

Join our collaborative data team at Virginia Tech, where we share successes and responsibilities. As we transition to a modern data-lake architecture, we seek fast learners with a passion for supporting existing processes and a drive to explore new technologies. The data management and analytics team is central to our technology operations, managing our data warehouse, data lake, and business intelligence solutions. We need a problem solver dedicated to delivering top-notch customer service and data-driven decisions.

As an Analytics Engineer, you will:

Develop critical data solutions based on business needs.
Contribute to and support the architecture of data solutions.
Assist both business and technical users in data solution development.
Collaborate with project managers, developers, and users to design cohesive data solutions.
Assess and enhance existing data solutions for issues, security, and improvements.
Manage multiple tasks and work with a diverse team.
Guide and review the work of technical peers and ensure quality assurance.
Think creatively and solve problems in a dynamic, collaborative environment.
Reasons to apply today

Work-life balance
Supportive, professional team environment
Generous leave and comprehensive affordable health benefits
Significant learning opportunities
Formal employee recognition program
This position offers hybrid or fully remote options, with on-site requirements twice a year. Sponsorship is not available for this position.

Required Qualifications

Master’s degree in Information Technology or related field or a combination of education, training, and experience that equates to a Master’s degree.
Experience with cloud data pipeline tools (AWS) and on-premise solutions (Talend).
Practical experience with Business Intelligence tools (MicroStrategy, PowerBI, Merced).
Extensive experience with relational databases (Oracle, Postgres, Snowflake) and advanced SQL.
Effective team collaboration and communication skills. Ability to set competing priorities and meet critical deadlines.
Experience in full system lifecycle development, requirements gathering and implementation.
Committed to supporting and promoting a diverse and inclusive campus community.
Preferred Qualifications

Strong motivation to learn and adapt to new technologies independently.
Advanced skills in creating reports, dashboards, and OLAP cubes (MicroStrategy, PowerBI).
Deep understanding of data warehouse concepts and database maintenance.
Experience with AWS services (Airflow, Glue) and other cloud technologies.
Proficiency in programming languages like (Python, SAS, R, Java).
Knowledge of devops practices (Docker, GitLab, Jenkins, Vault).
Experience with web services and APIs for complex data sets.