Bachelor's degree in computer science, engineering, or a quantitative discipline; extensive Palantir experience will substitute.
4+ years of software or data engineering experience, including 1.5+ years hands-on with Palantir Foundry, Gotham, AIP, or MSS.
Demonstrated experience building dashboards, applications, or pipelines for operational end users.
Working proficiency in ontology design, pipeline authoring using PySpark, Code Repositories, or Pipeline Builder.
Active US government security clearance.
Responsibilities
Build and maintain operator-facing dashboards and applications aligned to J7 mission workflows.
Create intuitive, self-service capabilities for operators to explore data independently.
Develop and maintain data pipelines and access controls on MSS and the Palantir stack.
Integrate external data sources into a well-modeled data foundation.
Create compelling data visualizations that communicate complex insights to diverse audiences.
Develop efficient data models and query optimization strategies for fast reporting.
Contribute reusable platform content to support continuous curriculum refresh.
Benefits
Opportunity to work on mission-critical analytics and applications.
Access to cutting-edge technologies like Palantir.
Collaborative environment with mission leaders and diverse teams.
Potential for career growth in a high-stakes field.
Support for continuous learning and professional development.
Full Job Description
Job Title: MSS Developer Engineer
Location: Falls Church, VA
Clearance Level: This position requires candidates to be U.S. citizens and to possess, at minimum, an active Secret security clearance. Roles under this requisition may require higher-level clearances, including TS/SCI, which candidates must be able to obtain and maintain based on project assignment.
Job Description
Build Mission-Critical Analytics and Applications
Build and maintain operator-facing dashboards, applications, and decision surfaces aligned to J7 mission workflows
Create intuitive, self-service capabilities that empower operators to explore data independently
Build automated workflows that deliver timely insights to stakeholders across the directorate
Ensure data accuracy and consistency across all MSS deliverables
Drive Hands-On Platform Engineering
Develop and maintain data pipelines, ontology, and access controls on MSS and the underlying Palantir stack
Integrate external data sources into a well-modeled data foundation
Ensure AI/AIP workflows have a well-modeled data foundation and that model outputs are surfaced in operationally useful ways
Partner with mission leaders to understand analytical needs and translate requirements into technical solutions
Enable Data-Driven Decision Making
Create compelling data visualizations that communicate complex insights to diverse audiences
Build interactive tools that allow operators to drill down into data and explore different scenarios
Design alerting and monitoring systems that proactively identify mission opportunities and risks
Collaborate with teams to establish KPIs and success metrics that drive mission performance
Optimize Platform Performance
Develop efficient data models and query optimization strategies for fast, reliable reporting Implement caching and aggregation strategies to ensure optimal dashboard and application performance
Build scalable MSS solutions that can handle growing data volumes and user bases
Provide day-to-day operator support and escalate complex platform issues to senior engineers as appropriate
Foster Analytics Excellence
Contribute reusable platform content, including ontology patterns, dashboard templates, and integration recipes, to support continuous curriculum refresh Document data sources, metrics definitions, and analytical methodologies for organizational knowledge
Support validation of the FDE&T model for potential extension to additional Combatant Commands, Service components, and functional commands
Stay current with MSS/Palantir technologies and advocate for new tools and approaches that improve mission analytics
Required Skills
Bachelor's degree in computer science, engineering, or a quantitative discipline; extensive Palantir experience will substitute.
4+ years of software or data engineering experience (data analysis or data science experience considered), including 1.5+ years hands-on with Palantir Foundry, Gotham, AIP, or MSS
Demonstrated experience building dashboards, applications, or pipelines for operational end users
Working proficiency in ontology design, pipeline authoring using PySpark, Code Repositories, or Pipeline Builder
Active US government security clearance
Preferred Skills
Prior Palantir FDE/FDSE or comparable customer-embedded role
Hands-on MSS experience AIP agent or large language model workflow exposure
Familiarity with DoD data environments and classified networks
Prior Combatant Command support
Solid Python and SQL skills with familiarity in JavaScript/TypeScript
