{"schemaVersion":"jobsearcher.job.v1","id":"681dbf9faac45c52f2828c8a","url":"https://jobsearcher.com/jobs/681dbf9faac45c52f2828c8a","canonicalUrl":"https://jobsearcher.com/jobs/681dbf9faac45c52f2828c8a","title":"Associate Data and Analytics Engineer","description":"537205\nBlacksburg, Virginia, United States\nVirginia, United States\nEnterprise Services\nInformation Systems / Technology\nFaculty (Salaried)\nClosing at: Aug 18 2026 - 23:55 EDT\nVirginia Tech\n\nJob Description\nVirginia 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.\n\nWorking under the guidance of senior data and analytics professionals, this position will assist with developing data pipelines, supporting cloud-based data platforms, maintaining enterprise data assets, and creating reports, dashboards, and analytical solutions. The position provides an early-career professional with opportunities to develop proficiency in enterprise data management, analytics engineering, business intelligence, and cloud data platform operations using technologies such as Snowflake, AWS, SQL, Python, and Power BI.\n\nWhy Join Virginia Tech\nJoin a team that is building the next generation of enterprise data and analytics capabilities at one of the nation’s leading R1 research universities. In this role, you will work with modern cloud data technologies, Snowflake, advanced analytics, and emerging AI capabilities while helping enable research, student success, academic operations, and institutional decision-making at enterprise scale.\n\nKey Responsibilities\n\nSupport the day-to-day operation of enterprise data and analytics platforms, including monitoring scheduled jobs, data pipelines, reports, dashboards, and platform services.\nAssist with troubleshooting data quality, integration, performance, and platform issues, escalating complex matters to senior team members as appropriate.\nParticipate in incident response, issue resolution, service restoration, monitoring, alerting, and operational automation activities.\nAssist in developing, maintaining, testing, and monitoring data pipelines, integrations, and ETL/ELT workflows supporting Snowflake-based analytics solutions.\nSupport the creation and maintenance of enterprise data assets, data models, and transformations used for institutional reporting and analytics.\nDevelop SQL queries and scripts for data processing, reporting, analytics, validation, and operational needs.\nPerform data validation, testing, reconciliation, and quality assurance to support the accuracy, completeness, and reliability of enterprise data.\nApply established data governance, metadata, data quality, security, privacy, and access-control standards and practices.\nAssist with developing and maintaining dashboards, reports, visualizations, and self-service analytics solutions using approved enterprise tools.\nWork with business and technical staff to understand reporting and analytics requirements and participate in report validation, user testing, and solution implementation.\nProvide customer support and guidance related to enterprise reporting and analytics services.\nContribute to technical documentation, operational procedures, training materials, user adoption, knowledge sharing, and continuous improvement initiatives.\nRequired Qualifications\nBachelor's degree in Computer Science, Information Technology, Information Systems, Business, Data Analytics, or a related field, or an equivalent combination of education, training, and experience.\nFoundational knowledge of data management, reporting, analytics, or business intelligence concepts.\nExperience writing scripts, version control (GIT) and the development life cycle.\nExperience developing SQL queries and working with relational databases.\nExperience supporting software applications, data solutions, reporting systems, or analytics platforms through coursework, internships, student employment, or professional experience.\nAbility to learn new technologies, business processes, and technical concepts.\nDemonstrated ability to communicate technical concepts and information effectively to both technical and non-technical audiences.\nDemonstrated analytical, troubleshooting, and problem-solving skills.\nDemonstrated ability to organize work, manage multiple priorities, adapt to changing business needs, and complete assigned responsibilities within established timelines.\nPreferred Qualifications\nExposure to cloud data platforms such as Snowflake or comparable technologies.\nExperience with a code release process (DevOps)\nExperience developing reports, dashboards, or data visualizations.\nExposure to Python, automation, or data processing workflows.\nFamiliarity with ETL/ELT, data modeling, data warehousing, or analytics engineering concepts.\nExperience with reporting or BI tools such as Power BI, Tableau, MicroStrategy, or similar platforms.\nExperience gained through internships, assistantships, capstone projects, student employment, or professional work.\nFamiliarity with higher education data domains or enterprise administrative systems.\nDemonstrated ability to collaborate effectively with cross-functional teams, stakeholders and data stewards, while completing assigned work with appropriate guidance.\nOvertime Status\nExempt: Not eligible for overtime\nAppointment Type\nRegular\nSalary Information\n$62,665 - $76,590\nHours per week\n40\nReview Date\n8/18/2026\nAdditional Information\nNo visa sponsorship is available for this position.\nThe successful candidate will be required to have a criminal conviction check.\nAbout Virginia Tech\nDedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually.\nVirginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.\nVirginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.\nIf you are an individual with a disability and desire an accommodation, please contact IT Human Resources at ithr@vt.edu during regular business hours at least 10 business days prior to the event.","company":"Virginia Tech","rawCompany":"virginia tech","city":"Blacksburg","state":"VA","isRemote":false,"isActive":true,"createdAt":"2026-08-06T10:22:55.561Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"611310","title":"Colleges, Universities, and Professional Schools","slug":"colleges-universities-and-professional-schools"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Associate Data and Analytics Engineer","description":"537205\nBlacksburg, Virginia, United States\nVirginia, United States\nEnterprise Services\nInformation Systems / Technology\nFaculty (Salaried)\nClosing at: Aug 18 2026 - 23:55 EDT\nVirginia Tech\n\nJob Description\nVirginia 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.\n\nWorking under the guidance of senior data and analytics professionals, this position will assist with developing data pipelines, supporting cloud-based data platforms, maintaining enterprise data assets, and creating reports, dashboards, and analytical solutions. The position provides an early-career professional with opportunities to develop proficiency in enterprise data management, analytics engineering, business intelligence, and cloud data platform operations using technologies such as Snowflake, AWS, SQL, Python, and Power BI.\n\nWhy Join Virginia Tech\nJoin a team that is building the next generation of enterprise data and analytics capabilities at one of the nation’s leading R1 research universities. In this role, you will work with modern cloud data technologies, Snowflake, advanced analytics, and emerging AI capabilities while helping enable research, student success, academic operations, and institutional decision-making at enterprise scale.\n\nKey Responsibilities\n\nSupport the day-to-day operation of enterprise data and analytics platforms, including monitoring scheduled jobs, data pipelines, reports, dashboards, and platform services.\nAssist with troubleshooting data quality, integration, performance, and platform issues, escalating complex matters to senior team members as appropriate.\nParticipate in incident response, issue resolution, service restoration, monitoring, alerting, and operational automation activities.\nAssist in developing, maintaining, testing, and monitoring data pipelines, integrations, and ETL/ELT workflows supporting Snowflake-based analytics solutions.\nSupport the creation and maintenance of enterprise data assets, data models, and transformations used for institutional reporting and analytics.\nDevelop SQL queries and scripts for data processing, reporting, analytics, validation, and operational needs.\nPerform data validation, testing, reconciliation, and quality assurance to support the accuracy, completeness, and reliability of enterprise data.\nApply established data governance, metadata, data quality, security, privacy, and access-control standards and practices.\nAssist with developing and maintaining dashboards, reports, visualizations, and self-service analytics solutions using approved enterprise tools.\nWork with business and technical staff to understand reporting and analytics requirements and participate in report validation, user testing, and solution implementation.\nProvide customer support and guidance related to enterprise reporting and analytics services.\nContribute to technical documentation, operational procedures, training materials, user adoption, knowledge sharing, and continuous improvement initiatives.\nRequired Qualifications\nBachelor's degree in Computer Science, Information Technology, Information Systems, Business, Data Analytics, or a related field, or an equivalent combination of education, training, and experience.\nFoundational knowledge of data management, reporting, analytics, or business intelligence concepts.\nExperience writing scripts, version control (GIT) and the development life cycle.\nExperience developing SQL queries and working with relational databases.\nExperience supporting software applications, data solutions, reporting systems, or analytics platforms through coursework, internships, student employment, or professional experience.\nAbility to learn new technologies, business processes, and technical concepts.\nDemonstrated ability to communicate technical concepts and information effectively to both technical and non-technical audiences.\nDemonstrated analytical, troubleshooting, and problem-solving skills.\nDemonstrated ability to organize work, manage multiple priorities, adapt to changing business needs, and complete assigned responsibilities within established timelines.\nPreferred Qualifications\nExposure to cloud data platforms such as Snowflake or comparable technologies.\nExperience with a code release process (DevOps)\nExperience developing reports, dashboards, or data visualizations.\nExposure to Python, automation, or data processing workflows.\nFamiliarity with ETL/ELT, data modeling, data warehousing, or analytics engineering concepts.\nExperience with reporting or BI tools such as Power BI, Tableau, MicroStrategy, or similar platforms.\nExperience gained through internships, assistantships, capstone projects, student employment, or professional work.\nFamiliarity with higher education data domains or enterprise administrative systems.\nDemonstrated ability to collaborate effectively with cross-functional teams, stakeholders and data stewards, while completing assigned work with appropriate guidance.\nOvertime Status\nExempt: Not eligible for overtime\nAppointment Type\nRegular\nSalary Information\n$62,665 - $76,590\nHours per week\n40\nReview Date\n8/18/2026\nAdditional Information\nNo visa sponsorship is available for this position.\nThe successful candidate will be required to have a criminal conviction check.\nAbout Virginia Tech\nDedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually.\nVirginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.\nVirginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.\nIf you are an individual with a disability and desire an accommodation, please contact IT Human Resources at ithr@vt.edu during regular business hours at least 10 business days prior to the event.","datePosted":"2026-08-06T10:22:55.561Z","dateModified":"2026-08-06T10:22:55.561Z","hiringOrganization":{"@type":"Organization","name":"Virginia Tech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Blacksburg","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"681dbf9faac45c52f2828c8a"},"url":"https://jobsearcher.com/jobs/681dbf9faac45c52f2828c8a"}}