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

Vantor Services; Herndon (VA); On-site; USD 140,000 - 190,000; Full time

Job summary

Vantor Services seeks an experienced Full Stack Software Engineer to develop, integrate, and sustain data analytics applications for a large-scale U.S. Government platform. You will create user-facing interfaces, back-end services, and APIs to enable exploration, visualization, and analysis of complex data.

Collaboration with data scientists, engineers, and government stakeholders is essential. Responsibilities include building dashboards, integrating analytical models, and delivering secure,

Qualifications

• Must be a U.S. Citizen with active TS/SCI clearance and willing to obtain CI poly.
• Bachelor's degree in computer science, software engineering, information systems, or related field with 8+ years of experience.
• Experience in full-stack development and building web applications.

Responsibilities

• Design, develop, test, and maintain interactive web applications and back-end services for data analytics platforms.
• Integrate data sources, analytical models, data processing services, and APIs into user-facing apps.
• Develop dashboards, visualizations, and interfaces for data exploration and analysis.
• Build RESTful APIs, microservices, and database integrations to support functionality.
• Collaborate with multidisciplinary teams and support CI/CD, testing, and deployment activities.

Skills

Front-end technologies

Back-end programming

RESTful APIs

Data visualization

CI/CD

Security clearance TS/SCI

Education

Bachelor's degree in CS or related field

Tools

Docker

Kubernetes

AWS

Azure

Job description

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, 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.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

This position requires an active U.S. Government Security Clearance at the TS/SCI level.

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.

Principal 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.

Minimum Qualifications :

• Must be a U.S. Citizen with an active TS/SCI clearance (and willingness to obtain a CI poly).
• Bachelor's degree in computer science, software engineering, information systems, or a related technical field with 8+ years of total professional experience in a technical support role
• Demonstrated experience in full-stack software development, web application engineering, or a related software engineering discipline.
• Strong proficiency in modern front-end technologies such as JavaScript/TypeScript, React, Angular, or Vue.js, and experience developing responsive, interactive web applications.
• Proficiency in at least one back-end programming language, such as Python, Java, Go, or C#, with experience developing RESTful APIs, integrating databases, and building server-side applications.
• Experience developing data-driven applications and integrating structured data, analytical services, and visualization capabilities
• Willingness to work onsite 75% (or as needs dictate) from either Herndon, VA or Westminster, CO.

Preferred Qualifications:

• Experience developing data visualization and analytical applications using tools and frameworks such as D3.js, Plotly, Highcharts, Chart.js, or similar technologies.
• Familiarity with data analytics and big data technologies such as Apache Spark, Hadoop, Kafka, Elasticsearch, or related platforms.
• Experience integrating machine learning models, statistical analysis, or AI-enabled capabilities into web applications.
• Familiarity with cloud platforms and services, particularly AWS, Microsoft Azure, or Google Cloud Platform.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Familiarity with CI/CD pipelines, Git-based version control, automated testing, and DevSecOps practices.
• Experience working with relational and NoSQL databases, including PostgreSQL, MySQL, MongoDB, or Elasticsearch.
• Knowledge of application security, authent