Delivery: Translate requirements from analysts and end users into working data flows and supporting application features.
Application Support: Build and maintain supporting interfaces and server-side logic as needed to expose or operate on pipeline data.
AI/Agentic Support: Support the architecture, integration, and validation layers behind AI agent and retrieval-driven applications.
Deployment & Sustainment: Package, deploy, and sustain containerized pipelines and applications in cloud and accredited environments, including air-gapped enclaves.
Testing & Support: Debug issues, run automated and functional tests, and resolve user-reported problems.
Collaboration: Work with product owners, analysts, and senior engineers in an agile environment.
Required Qualifications
Clearance: Active TS/SCI clearance with a poly.
Experience: 2–5 years of experience in data engineering, software development, or a related technical role working with data and applications.
Technical Skills: Intermediate experience with Python and SQL.
Data & Application Integration: Basic experience working with APIs, connecting different systems and data sources, and building or supporting data pipelines.
Linux & Containers: Basic hands-on experience running applications or data tools in a Linux environment; experience with containers is helpful.
Adaptability: Able to learn new programming languages, tools, and technologies as needed. We value problem-solving and a willingness to learn over deep expertise and experience in any specific technology.
Coachability & Growth: Open to learning application development and taking on new responsibilities. We're looking for someone with strong learning instincts who responds well to feedback and can grow with the role.
Familiarity using Claude Code, Copilot, Codex or other AI coding tool.
Desired Qualifications
End-to-end ownership of a data pipeline or application, from initial build through deployment and sustainment.
Relational and embedded analytical databases.
CI/CD pipelines and automated build tooling.
Deployment into GovCloud, secure enclaves, or other accredited or isolated environments.
Agentic AI Architecture: Working familiarity with how models, tools, retrieval, and validation layers fit together in modern AI agent applications.
Configuration-Driven Design: Comfort externalizing business logic into configuration files rather than hard-coding it into the application.
Familiarity with JavaScript or TypeScript and Git is a plus. A GitHub profile with examples of your work is welcome.
Physical Requirements
Prolonged periods of sitting at a desk and working on a computer
Participation in virtual and in-person meetings
Ability to attend planned meetings and/or work in classified spaces for extended periods within the specified work regions
Orbis Benefits
Beyond the opportunity to work alongside practitioners who have operated at the mission edge, joining Orbis means real ownership over outcomes that matter; the chance to build technology that gives the United States Government and its allies a genuine decision advantage, not just another dashboard. From competitive retirement matching to a PTO policy that encourages real time off, we're committed to creating an environment where our team can do their best work and still have a life outside of it.
Our comprehensive benefits package is designed to meet the diverse needs of our employees and their families. A full list of benefits is shared with candidates following an initial conversation with our HR team, so you'll have a clear picture of the support and resources available to you as part of the Orbis team.
Orbis Locations
Orbis works in whatever arrangement the mission requires. Depending on the role, that might mean five days a week on a customer site, full-time in one of our offices, a hybrid schedule, or fully remote work; our team is spread across 25 states and four countries to match. We make sure every team member has the tools and access needed to do the work, wherever that work happens.
Travel is common across many Orbis roles, particularly those supporting customer missions in the field.
Orbis is headquartered in McLean, VA, with additional office locations in Taipei, Taiwan, and Canberra, Australia.
Orbis is an Equal Employment Opportunity employer. We are committed to providing a work environment free of discrimination and harassment, and we make employment decisions based on merit,
qualifications, and business need. Orbis does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, genetic information, or any other status protected by applicable law.
Orbis complies with all applicable equal opportunity and non-discrimination laws in every jurisdiction in which we operate. Reasonable accommodation is available to applicants and employees with disabilities upon request.
