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

Vantor•Herndon, VA

6d•Onsite

About The Position

Vantor is seeking an experienced Full Stack Software Engineer to support development, integration, and sustainment of data analytics applications and capabilities for a large-scale U.S. Government data analytics platform. The engineer will design and develop user-facing applications, back-end services, and APIs that help users access, explore, visualize, and analyze large, complex datasets. The role works closely with data scientists, data engineers, analysts, and government stakeholders to translate analytical requirements into intuitive, scalable, and secure software solutions. It emphasizes interactive analytics applications, integration of analytical models and data services, and user-friendly capabilities that help users derive actionable insights from diverse data sources. The role requires U.S. citizenship and an active TS/SCI U.S. Government security clearance, along with willingness to obtain a CI poly. The employee must be willing to work onsite 75% of the time, or as needs dictate, in Herndon, Virginia, or Westminster, Colorado. Employment in cleared roles is contingent upon verification of clearance status. Certain roles may also be subject to U.S. export control laws requiring U.S. person status.

Requirements

U.S. citizenship and an active TS/SCI U.S. Government security clearance; willingness to obtain a CI poly.
Bachelor's degree in computer science, software engineering, information systems, or a related technical field, and 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 with 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% of the time, or as needs dictate, in Herndon, VA, or Westminster, CO.

Nice To Haves

Experience developing data visualization and analytical applications using 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 with relational and NoSQL databases, including PostgreSQL, MySQL, MongoDB, or Elasticsearch.
Knowledge of application security, authentication, authorization, and secure software development practices.
Experience supporting government, defense, intelligence, or other regulated environments.

Responsibilities

Design, develop, test, and maintain interactive web applications and supporting back-end services for data exploration, analysis, visualization, and reporting.
Integrate data sources, analytical models, data-processing services, and APIs into user-facing applications to support advanced analytics workflows and mission requirements.
Develop interactive dashboards, visualizations, search interfaces, and analytical tools that help users explore large datasets, identify patterns, and interpret analytical results.
Develop and maintain RESTful APIs, microservices, and database integrations for efficient data access, querying, processing, and application functionality.
Collaborate with multidisciplinary engineering and analytics teams to implement capabilities, troubleshoot application issues, optimize performance, and support CI/CD, testing, and software deployment activities.