Mid-level Full Stack Software Engineer (TS/SCI)

About the role

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance at the TS/SCI level (and willingness to obtain a CI poly); applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status. Certain roles may be subject to U.S. export control laws (ITAR), requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

We are seeking an experienced Full Stack Software Engineer to support the development, integration, and sustainment of data analytics applications and capabilities for a large-scale U.S. Government data analytics platform. The successful candidate will design and develop user-facing applications, back-end services, and APIs that enable users to access, explore, visualize, and analyze large and complex datasets. The engineer will work closely with data scientists, data engineers, analysts, and government stakeholders to translate analytical requirements into intuitive, scalable, and secure software solutions. The role emphasizes developing interactive data analytics applications, integrating analytical models and data services, and delivering user-friendly capabilities that help users derive actionable insights from diverse data sources.

Responsibilities

• Full-Stack Application Development: Design, develop, test, and maintain interactive web applications and supporting back-end services that enable data exploration, analysis, visualization, and reporting.
• Data Analytics Application Integration: Integrate data sources, analytical models, data processing services, and APIs into user-facing applications to support advanced analytics workflows and mission requirements.
• Data Visualization and User Experience: Develop interactive dashboards, visualizations, search interfaces, and analytical tools that allow users to explore large datasets, identify patterns, and interpret analytical results.
• Back-End Services and API Development: Develop and maintain RESTful APIs, microservices, and database integrations to support efficient data access, querying, processing, and application functionality.
• Agile Development and Platform Integration: Collaborate with multidisciplinary engineering and analytics teams to implement new capabilities, troubleshoot application issues, optimize performance, and support CI/CD, testing, and software deployment activities.

Requirements

• Must be a U.S.