Blacksburg, VA

Engineer Jobs in Blacksburg, VA

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Data and Analytics Engineer

Virginia Tech Blacksburg, VA

Blacksburg, VA

Today

$95k - $103k/yr Full time Analytics Apache Airflow Artificial Intelligence

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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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Today

Associate Data and Analytics Engineer

Virginia Tech Blacksburg, VA

Blacksburg, VA

Today

$63k - $77k/yr Full time Analytics Business Analytics Business Intelligence

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Job Description

Virginia Tech is hiring an Associate Data and Analytics Engineer to help power enterprise data, analytics, and reporting solutions in a hybrid work setting from Blacksburg, VA. In this role, you will support day-to-day platform operations and assist in building data pipelines and cloud-based analytics capabilities, working under guidance from senior professionals.

Role focus

Support enterprise data and analytics platforms by monitoring scheduled jobs, data pipelines, reports, dashboards, and related platform services.
Assist with troubleshooting data quality, integration, performance, and platform issues, escalating more complex items as needed.
Participate in incident response and operational activities, including monitoring, alerting, issue resolution, service restoration, and operational automation.
Contribute to the development, maintenance, testing, and monitoring of data pipelines, integrations, and ETL/ELT workflows for Snowflake-based analytics.
Help create and maintain enterprise data assets, data models, and transformations used for institutional reporting and analytics.
Develop SQL queries and scripts for data processing, reporting, analytics, validation, and operational needs.
Perform data validation, testing, reconciliation, and quality assurance to support accurate, complete, and reliable enterprise data.
Apply established standards for data governance, metadata, data quality, security, privacy, and access control.
Assist in building and maintaining dashboards, reports, visualizations, and self-service analytics using approved enterprise tools.
Collaborate with business and technical staff to understand reporting and analytics requirements, including report validation, user testing, and solution implementation.
Provide customer support and guidance for enterprise reporting and analytics services.
Support technical documentation, operational procedures, training materials, user adoption activities, knowledge sharing, and continuous improvement efforts.

Required qualifications

Bachelor's degree in Computer Science, Information Technology, Information Systems, Business, Data Analytics, or related, or an equivalent combination of education, training, and experience.
Foundational knowledge of data management, reporting, analytics, or business intelligence concepts.
Experience writing scripts, using version control (GIT), and working with the software development life cycle.
Experience developing SQL queries and working with relational databases.
Experience supporting software applications, data solutions, reporting systems, or analytics platforms through coursework, internships, student employment, or professional experience.
Ability to learn new technologies, business processes, and technical concepts.
Demonstrated ability to communicate technical information effectively to both technical and non-technical audiences.
Demonstrated analytical, troubleshooting, and problem-solving skills.
Demonstrated ability to organize work, manage multiple priorities, adapt to changing business needs, and complete assigned responsibilities within established timelines.

Technologies

Snowflake
AWS
SQL
Python
Power BI
GIT
ETL/ELT
Snowflake-based analytics
DevOps
Tableau
MicroStrategy

Preferred qualifications

Exposure to cloud data platforms such as Snowflake or comparable technologies.
Experience with a code release process (DevOps).
Experience developing reports, dashboards, or data visualizations.
Exposure to Python, automation, or data processing workflows.
Familiarity with ETL/ELT, data modeling, data warehousing, or analytics engineering concepts.
Experience with reporting or BI tools such as Power BI, Tableau, MicroStrategy, or similar platforms.
Experience gained through internships, assistantships, capstone projects, student employment, or professional work.
Familiarity with higher education data domains or enterprise administrative systems.
Demonstrated ability to collaborate effectively with cross-functional teams, stakeholders, and data stewards while completing assigned work with appropriate guidance.

Work arrangement, pay, and appointment details

Location: Blacksburg, VA (hybrid)
Salary: USD 62,665 - 76,590 per yearly (salary information: $62,665 - $76,590)
Hours: 40 hours per week
Appointment type: Regular
Overtime status: Exempt: not eligible for overtime
Review date: 8/18/2026

Additional information

No visa sponsorship is available for this position.
The successful candidate will be required to have a criminal conviction check.

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Engineer Jobs in Blacksburg, VA

Data and Analytics Engineer

Associate Data and Analytics Engineer

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