Teams at Reinventing Geospatial (RGi)

Build and deploy production machine learning applications, APIs, inference services, and data platforms. Engineer large-scale pipelines using distributed technologies, data modeling, ETL/ELT, transformation, and data quality practices. Translate defense and mission needs into scalable solutions across cloud, containerized, and GPU/CPU environments while collaborating with engineering, data, and mission teams.

Performs dataset evaluations and assessments to support government decision-making; develops data engineering approaches, identifies data and analytical gaps, and collaborates with software engineers to validate application changes. Provides subject matter expertise to end users, documents repeatable analytic processes, and communicates findings to government officials. The role requires expertise in technical telemetry and telecommunications data, scripting, geospatial analysis, and intelligence-focused analytics.

Designs, deploys, tests, and supports enterprise GIS applications and geospatial data workflows. Develops software with multiple programming languages, manages ArcGIS Enterprise permissions, configures OGC web services, and integrates container platforms. Supports AI/ML systems, QA/QC, vulnerability remediation, STIG compliance, technical documentation, and RMF security controls. Collaborates in an agile DevSecOps team while supporting COTS geospatial tools and distributed systems.