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Temporary/Casual
Technology
Senior Data Steward with Security Clearance
Integrity First Technologies LLCSpringfield, VA🇺🇸United StatesPosted 15 Jul 2026
Quick Overview
Salary
$155k - $165k/yr
Work Type
Hybrid
Schedule
Temporary/Casual
Level
Mid Senior
Job Description
Senior Data Scientist (10+ yrs experience) - NGA Springfield, VA Salary Range: $155-165k Clearance Level - TS/SCI Must haves:
• 10+ years of relevant experience. (A combination of years of experience, professional certifications, and education may be used in lieu of years of experience)
• Demonstrated understanding of GIS, data schemas, and the geo-referencing of information
• Knowledge of extraction and metadata specifications
• Knowledge of Relational Database Management System (RDBMS) architectures, best practices for data normalization, and performance tuning/optimization techniques
• Knowledge of enterprise geodatabases, such as Spatial Database Engines (SDEs)
• Knowledge of tools such as the ArcGIS Suite, ArcGIS Online, Portal, Excel, Access, and SQL for the storage, organization, and maintenance of spatial data
• Familiarity with ontology concepts as they relate to information systems, data modeling, and data relationships
• Strong collaboration skills with the ability to work effectively as a team player across technical and mission-focused teams
• Knowledge of scripting languages, such as R or Python
• 10+ years of relevant experience. (A combination of years of experience, professional certifications, and education may be used in lieu of years of experience)
• Demonstrated understanding of GIS, data schemas, and the geo-referencing of information
• Knowledge of extraction and metadata specifications
• Knowledge of Relational Database Management System (RDBMS) architectures, best practices for data normalization, and performance tuning/optimization techniques
• Knowledge of enterprise geodatabases, such as Spatial Database Engines (SDEs)
• Knowledge of tools such as the ArcGIS Suite, ArcGIS Online, Portal, Excel, Access, and SQL for the storage, organization, and maintenance of spatial data
• Familiarity with ontology concepts as they relate to information systems, data modeling, and data relationships
• Strong collaboration skills with the ability to work effectively as a team player across technical and mission-focused teams
• Knowledge of scripting languages, such as R or Python
Skills
SQL
Python
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