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GIS/Documentation Data Technician

Denver, OR, USA
Description
Quantum Spatial is seeking a GIS technician to work directly with its federal government client at the Federal Center in Lakewood, Colorado. The successful candidate will apply their knowledge of natural resource management and GIS expertise to refine range land monitoring sampling design processes, manage natural resource data, document standard operating procedures and workflows, and ensure data quality for a variety of terrestrial and aquatic monitoring projects.

Responsibilities

• Process and maintain photos, sample design implementation data, and field data related to rangeland monitoring
• Supports implementation of sampling designs for rangeland monitoring
• Organizes data and performs data management with database software, GIS (geographic information systems), and statistical software
• Supports dissemination of information about the Monitoring program through the creation of supplemental materials such as maps, reports, diagrams, charts, etc.
• Assists the national terrestrial and aquatic ecologists by preparing and cleaning data products.
• Attends regular meetings to review work progress and schedule as well as meetings which pertain to the supported program/projects
• Assists with the use of vegetative and soils monitoring data of upland and lentic systems and aquatic data for lotic systems to inform determination of condition
• Provide technical assistance to end users accessing and using geospatial tools
• Effectively communicate complex technical problems and solutions to non-technical partners and user base
• Help enforce national naming convention of ArcGIS Server GIS Services, filename, and folder
• Submits weekly report which summarizes finished and ongoing tasks
• Assist with aquatic monitoring data and other data management when required

Minimum Qualifications
• Experience of more than 4 years with ESRI’s ArcGIS Desktop software. Preference will be given to the candidate(s) demonstrating at least 1 year experience using ArcGIS Desktop 10.4 or higher.
• Experience working with vegetative and soils natural resources monitoring data of upland systems to inform determination of condition
• Professional experience of more than 2 years implementing field-based natural resources monitoring programs
• At least 2 years’ experience with the implementation of a large scale vegetative monitoring program
• Knowledge of monitoring data management both in the field and in the office
• Ability to manage complex projects, including project management skills, skills in separating tasks, skill in organizing and facilitating manager and technical work groups
• Ability to communicate technical information effectively to lay persons and resource specialists alike
• Ability in developing written technical documentation (such as reports, training materials, white papers, etc.)

Term: Full-time, 12 months with option to extend an additional 48 months
Location: Lakewood, CO

All job offers with Quantum Spatial are contingent upon passing a background check and drug screening.

How to Apply
We realize the unacceptable lack of diversity in our industry and we refuse to ignore it. We proactively address this with our office culture and hiring practices. If you are not sure whether or not you’d be a fit, we say go ahead and apply!

Please upload a letter of interest, and resume with professional references in one (1) PDF via online application process. We do read every cover letter and will not accept applications without them, help us get to know you!

No phone calls or emails, please. Incomplete applications and auto-reply submissions will not be considered.

Quantum Spatial is a proud and committed Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, color, religion, sex, age, national origin, sexual orientation, gender identity, veteran status, disability, or any other protected status.

Apply online here


Quantum Spatial
USA

  

Printable version of this page Posted 2019-07-22 under Forestry, Geography, Geospatial, Government, Remote Sensing, Technician

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