Environmental Geospatial Data and Visualization Specialist

Oak Ridge National Laboratory•Oak Ridge, TN

About The Position

The Environmental Geospatial Data and Visualization Specialist supports environmental data modernization through GIS, enterprise GIS platforms, and user-centered workflow design. The role is part of the Environmental Sampling and Data Evaluation Group in the Environmental Protection Services Division, Environmental Safety, Health, and Quality Directorate at Oak Ridge National Laboratory (ORNL). The specialist works with subject matter experts across environmental sampling, water quality, and natural and cultural resource management to improve data integration, operational efficiency, and decision-making. The position supports development and production operations for Esri-based enterprise GIS applications and may contribute to interoperability with environmental data management systems such as EQuIS. Cross-training may also provide backup support for hydrologic data evaluation and instream flow monitoring. The role may involve physical requirements associated with field work, and a pre-hire physical is required after an offer. Visa sponsorship is not available. The employee must be able to obtain and maintain an HSPD-12 PIV badge and successfully complete the required federal background investigation. ORNL also requires Real ID-compliant identification for employment.

Requirements

BS in GIS, Informatics, Environmental Science, Earth Sciences, or a related field and 2–4 years of experience using GIS platforms for environmental data visualization and analysis; or an MS degree and 1–3 years of such experience.
Proficiency in GIS desktop applications, particularly ArcGIS Pro.
Familiarity with enterprise GIS environments and web-based GIS applications.
Working knowledge of Python, SQL, and Arcade.
Ability to collaborate with technical and non-technical stakeholders.
Strong documentation and communication skills.
Ability to obtain and maintain an HSPD-12 PIV badge and pass the required federal Tier 1 background investigation.
Ability to meet physical requirements associated with field working conditions and complete a pre-hire physical after offer.
Real ID-compliant identification is required for employment at ORNL.

Nice To Haves

Experience or familiarity with Microsoft Power Platform, including Power Automate, Power BI, Power Apps, and SharePoint.
Prior experience in the DOE system or similar federal/public-sector environments.
Exposure to environmental compliance, environmental monitoring, or field data collection workflows.
Excellent written and oral communication skills.
Motivation, self-direction, ability to work independently, and ability to contribute creatively to collaborative teams across the laboratory.
Knowledge of facilities and environmental areas at Oak Ridge National Laboratory.

Responsibilities

Support environmental data modernization through GIS integration, workflow improvement, and process optimization.
Assist with the design, development, testing, deployment, and maintenance of GIS applications and solutions.
Perform GIS data quality assurance and quality control, maintain documentation, and support sound data stewardship.
Work with program staff and stakeholders to gather business requirements, improve workflows, and design user-centered solutions.
Support enterprise GIS operations using the Esri platform, including ArcGIS Pro, ArcGIS Enterprise/Portal, web maps, web applications, dashboards, and mobile tools such as Field Maps and Survey123.
Assist with service publishing, data updates, system troubleshooting, and production support for GIS services and applications.
Cross-train as a backup for selected enterprise GIS administration, deployment, and maintenance functions.
Support interoperability between GIS and environmental data management systems, including environmental sampling, evaluation, analytics, and QA/QC workflows.
Participate in data validation, visualization, and reporting for environmental compliance and protection programs.
As needed, assist with hydrologic monitoring activities, including field dataset review, visualization, and basic analysis.
Cross-train to provide backup support for instream flow monitoring, hydrologic data evaluation, and associated field equipment operations, as workload permits.