Senior Data Engineer - Springfield, United States - Gatewaygeo

    Gatewaygeo
    Gatewaygeo Springfield, United States

    1 month ago

    Default job background
    Description


    Join G3 in facilitating the integration of commercially procured geospatial data and services, including knowledge of object detection datasets from Computer Vision algorithms, into the National Geospatial-Intelligence Agency's systems architecture, acting as a technical liaison between commercial providers, infrastructure personnel, and end-users.


    Responsibilities:
    Coordinate with domestic and foreign commercial geospatial data suppliers approved by NGA
    Work with NGA infrastructure technical personnel and program offices to enable integration of new commercial data sources
    Serve as a technical subject matter expert on commercial data integration and make recommendations to optimize data access and visibility
    Implement and manage cloud-based storage systems for commercial data in AWS cloud architecture (classified/unclassified environments)
    Perform data cleaning and preprocessing tasks using Python scripting
    Handle spatial data file formats (TIF, GeoJSON, CSV, Raster) and data type conversions
    Utilize knowledge of object detection datasets from Computer Vision algorithms
    Leverage data analytics software platforms (e.g. Brewlytics) to improve analytic workflows
    Implement test and evaluation plans for data onboarding and migration processes
    Manage databases in classified/unclassified environments
    Collaborate cross-functionally with system engineers, program managers, and data providers


    Qualifications:

    College degree (B.S.) in Computer Science or other STEM discipline
    Active TS/SCI Clearance with CI Polygraph
    7+ Years Experience, with Data Science or Software Engineering
    Desired

    Qualifications:

    Understanding of AWS cloud architecture to implement cloud-based storage systems in classified/unclassified environments
    Knowledge of the Python language in respect to data cleaning
    Experience with spatial data file formats and data type conversions (e.g. TIF, GeoJSON, CSV, Raster)
    Experience deploying and testing Computer Vision algorithms/models with respect to object detection
    Understanding of GEOINT analysis software (Ex. Brewlytics) and practices
    Experience with Database systems - architecture and management

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