GEOINT Data Engineer
Enable analysis of GEOINT collection performance data to support end-to-end (E2E) GEOINT architecture assessments. Develop recommendations to improve the effectiveness of GEOINT collection strategies. Define new performance metrics and calculation approaches to address evolving collection strategies. Determine GEOINT collection impacts by analyzing developments to the current remote sensing constellation. Develop performance analysis reports, conduct trend studies, and analyze collection performance of all geospatial data providers.
Experience with a geospatial information system (GIS) application to perform and visualize geospatial analysis
Experience in analyzing GEOINT collection strategies and E2E GEOINT Enterprise performance to propose recommendations for optimizing collection based on data from established and emerging GEOINT data repositories
Experience with Python, R, or SQL
Knowledge of querying for GEOINT performance data and how to develop custom data queries and visualizations to meet and anticipate customer requirements
Knowledge of scripting to conduct data analysis tasks and advanced analytics
Knowledge of qualitative and quantitative methods to develop new metrics and advanced analytical techniques to measure E2E multi-GEOINT source satisfaction and performance
Knowledge of GEOINT collection management tools available for collection managers to characterize the current remote sensing constellation in the context of sensor orbits, tasking, and sensor specific traits
Knowledge of traditional end-to-end (E2E) GEOINT sources, airborne and commercial sources, the GEOINT TCPED process, and requirement and strategy life cycle
Active TS/SCI clearance; willingness to take a polygraph exam
HS diploma or GED and 10+ years of experience in analysis, Bachelor's degree and 6+ years of experience in analysis, Master's degree and 4+ years of experience in analysis, or Doctorate degree and 2+ years of experience in analysis
Experience with Map of the World, ArcGIS, Google Earth, or similar application preferred
Experience as a GEOINT analyst performing imagery or geospatial analysis or as a GEOINT source strategies analyst
Experience in leading a team of skilled data scientists in conducting trend studies and analyzing GEOINT collection performance of multi-source geospatial data
Experience with Hadoop, HUE, Hive, Pig, Spark, Elasticsearch, or Kibana
Experience with GIMS, Web FishTools, or yODA/MTD
Ability to create, edit, and evaluate technical accuracy of presentation materials, visual aids, and graphics
Geospatial-Intelligence Proficiency Level-I (GPC-I) Certification
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
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