REQUIRED QUALIFICATIONS:

• 2 years of academic accomplishment on a path to a 4-year degree in math, science, engineering, or related studies
• Minimum of 2 years of work with GEOINT data
• Understanding of database functionality, design, normalization, structured, and unstructured data
• Ability to interact with APIs programmatically
• Experience programming in Python or a domain-related scripting language
• Demonstration of strong self-motivation and ability to work independently and on a team
• Written, oral, and interpersonal communication skills

PREFERRED QUALIFICATIONS:

• 5 + years of relevant work
• Experience with GEOINT data sources
• Experience with database design, data mining, data validation, and cleaning

WHO WE ARE:

Our people are the core of who we are and what we do. NASK has two decades of experience delivering innovative solutions to the tough technical challenges facing our partners in the Intelligence and Defense communities. Our subject matter experts collaborate with junior developers and analysts, bringing fresh approaches to solve the toughest mission problems.

MORE ABOUT YOUR ROLE:

At NASK, we are growing, building great teams, and doing exciting work. NASK is seeking an experienced Data Management professional in Beavercreek, Ohio, to fill a key role supporting the National Air & Space Intelligence Center (NASIC). In this position, you will work closely with researchers, analysts, system developers, and Government subject matter experts to tailor and implement data pipelines and processes; create data schema, spatially and temporally correlate data, ensure quality and fitness of data including consistency, accuracy, and normalization to be used in intelligence analysis. This role supports a high-performance team providing GEOINT data science, data stewardship, and advanced data visualization.

RESPONSIBILITIES:

• Database Management: Design, develop, and maintain geospatial databases using platforms such as ArcGIS, QGIS, or PostgreSQL/PostGIS, ensuring efficient storage, retrieval, and querying of geospatial intelligence (GEOINT) data.
• Structured Observation Management (SOM): Implement and manage SOM frameworks to standardize geospatial data collection, observation, and reporting processes, ensuring consistency and traceability in geospatial intelligence (GEOINT) workflows.
• Data Manipulation: Manipulate and transform existing geospatial datasets (e.g., satellite imagery, LiDAR, vector/raster data) to meet mission-specific requirements, including data cleaning, reprojection, and format conversion, while adhering to SOM protocols.
• Schema Design: Create and optimize database schemas to support complex GEOINT and SOM workflows, ensuring scalability, performance, and alignment with industry standards.
• Spatial Analysis: Perform advanced spatial analysis (e.g., buffering, overlay, proximity analysis) to derive insights from GEOINT data, integrating SOM-derived observations for enhanced mission planning and decision-making.
• Data Integration: Integrate diverse data sources (e.g., cartographic, photographic, remote sensing, tabular) into cohesive GIS databases, incorporating SOM data to ensure consistency and accuracy across scales.
• Quality Control: Conduct quality assurance and validation checks on GIS and SOM data to maintain data integrity and reliability, with minimal supervision.
• Automation: Develop scripts (e.g., Python, SQL) to automate repetitive data management and SOM tasks, such as data updates, geoprocessing, or schema maintenance, improving operational efficiency.
• Collaboration: Work closely with analysts, developers, and stakeholders to understand mission needs and translate them into effective data management and SOM solutions.