Geospatial Engineer (TS/SCI)

As a Geospatial Engineer at Figure Eight Federal, your main responsibilities will include analyzing and interpreting geospatial imagery, processing raw satellite data using specialized geospatial software tools, and performing change detection analysis. You will also be responsible for creating detailed reports and visual presentations of your findings, collaborating with cross-functional teams to integrate your analysis into broader projects, and developing methodologies and workflows for geospatial analysis.

To qualify for the Geospatial Engineer position at Figure Eight Federal, you should hold a Bachelor's degree in Geographic Information Systems (GIS), Remote Sensing, Geography, or a related field, complemented by 3-5+ years of relevant experience in geospatial analysis. Proficiency in interpreting EO/IR and SAR imagery types, experience with geospatial software platforms like QGIS or ESRI ArcGIS, and strong analytical skills are essential. An active Top Secret security clearance is also required.

A Geospatial Engineer at Figure Eight Federal will utilize a variety of geospatial software tools, such as QGIS, ESRI ArcGIS, ENVI, and ERDAS, for processing and analyzing geospatial data. Familiarity with Python, R, or other programming languages for data analysis is also beneficial, especially for advanced techniques involved in interpreting satellite imagery and LiDAR data.

Yes, at Figure Eight Federal, we prefer candidates who have expertise in Synthetic Aperture Radar (SAR) interpretation and exploitation, as well as knowledge of US government geospatial datasets and standards. Additional familiarity with machine learning applications in satellite imagery analysis and experience with point cloud processing will greatly enhance your candidacy for the Geospatial Engineer role.

Figure Eight Federal stands out as an employer for Geospatial Engineers due to its commitment to diversity and equal opportunity, along with fostering an innovative work environment that drives advances in AI technology. With a rich history of experience in the field, F8F provides a platform for personal and professional growth, while enabling you to leverage your skills to make impactful contributions in a rapidly evolving industry.

When answering this question, highlight specific projects where you've analyzed geospatial data, using relevant software tools. Focus on your techniques for interpreting EO/IR and SAR imagery and how your contributions have informed decision-making in those projects.

Be sure to mention specific software like QGIS, ESRI ArcGIS, or ENVI. Discuss your proficiency with each platform, any projects you've used them on, and how they've enhanced your analytical capabilities.

Provide a detailed account of the project, emphasizing the challenges, your thought process, the analytical methods used, and the successful outcomes. Show how you utilized your problem-solving skills and technical expertise.

Mention specific industry journals, online courses, conferences, or professional networks you engage with. Emphasize your commitment to continuous learning and adapting to changes in the field.

Outline your experience with change detection methods you’ve utilized, the types of data analyzed, and explain its importance in identifying developments over time, integrating it with real-world applications.

Discuss various methodologies you've employed, such as spatial analysis techniques, data integration approaches, or even scripting for automation in your analyses. Share specific examples to illustrate your points.

Explain any projects or experiences where you applied machine learning techniques to satellite imagery or geospatial data. Discuss the algorithms used and the outcomes achieved through these technologies.

Talk about your attention to detail, practices for data validation, and any standard operating procedures you follow to guarantee the precision of your analyses.

Emphasize the importance of communication, both written and verbal, when presenting findings to stakeholders. Share experiences where effective communication improved project outcomes or facilitated collaboration.

Discuss the importance of clarity, audience tailoring, and visual appeal in reporting. Mention the types of visuals you've found most effective and how they contribute to understanding complex spatial data.