GEOINT Data & Mission Integration Engineer

Peraton•Chantilly, VA

1d•$112,000 - $179,000•Onsite

About The Position

Peraton is seeking GEOINT Data & Mission Integration Engineers to integrate mission applications, geospatial data sources, processing services, APIs, metadata, and shared platform capabilities. The role works with application developers and platform teams to define interfaces, enable interoperable data exchange, support geospatial data formats, and validate end-to-end processing workflows. It combines systems integration and software development with geospatial data processing, API integration, and mission-oriented applications. The position is fully onsite in Chantilly, Virginia. Candidates must have an active TS/SCI clearance with CI Polygraph. A BS/BA and five years of experience are required; an additional four years of experience may be considered in lieu of a degree. The posting also describes approximately five to eight years of experience in a related technical discipline. Peraton describes itself as a national security company and mission capability integrator serving government agencies and the U.S. armed forces. The target salary range is $112,000–$179,000. Salary depends on factors including responsibilities, experience, education, skills, location, and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus.

Requirements

Active TS/SCI clearance with CI Polygraph.
BS/BA and five years of experience; an additional four years of experience may be considered in lieu of a degree.
Approximately five to eight years of experience in data integration, geospatial software, API development, mission-application integration, systems integration, or a related technical discipline.
Experience with REST APIs and structured data exchange.
Experience working with geospatial data formats, geospatial processing, or geographic information systems.
Software development or scripting experience.
Strong troubleshooting, analytical, and interface-documentation skills.
Ability to collaborate directly with application developers, platform engineers, and technical stakeholders.

Nice To Haves

Experience with GDAL or comparable geospatial data-processing tools.
Experience with PostGIS or other spatial database technologies.
Experience with GeoTIFF, NITF, and GeoJSON.
Experience with Open Geospatial Consortium (OGC) interfaces and standards.
Experience with commercial imagery integration.
Experience with geospatial intelligence or other mission-oriented geospatial systems.
Experience with data catalogs, metadata services, and geospatial discovery capabilities.
Experience integrating geospatial data across secure or highly regulated environments.

Responsibilities

Support application developers in establishing interfaces between mission applications, geospatial processing services, and shared enterprise capabilities.
Develop and maintain API specifications, integration examples, interface documentation, and technical guidance.
Integrate mission applications with shared processing, catalog, and data services.
Troubleshoot application interfaces, data exchanges, and service integration issues during onboarding and production operations.
Collaborate with software developers and platform engineers to resolve integration dependencies and improve interoperability.
Establish reusable integration patterns and technical documentation to support consistent implementation across applications.
Support the exchange and processing of geospatial data using formats such as GeoTIFF, NITF, and GeoJSON.
Develop data transformation and processing workflows that preserve data integrity, provenance, and metadata.
Integrate geospatial data sources, collection systems, and approved data platforms.
Support metadata management, cataloging, discovery, and access to geospatial products across applications.
Validate data formats, interface compatibility, and processing requirements to ensure reliable data exchange.
Identify and resolve data interoperability issues across systems and processing workflows.
Support end-to-end testing of geospatial data processing and product-generation workflows.
Validate processing accuracy, throughput, latency, data integrity, and error handling.
Coordinate with integration and test engineers to develop and execute integration, mission-workflow, and regression tests.
Analyze workflow failures and coordinate corrective actions with application, data, and platform engineering teams.
Document integration patterns, troubleshooting procedures, and recurring issues to improve reuse and maintainability.