IC Mission Data Innovation Engineer

The Mitre Corporation • McLean, VA

7d • $124,400 - $186,600 • Onsite

About The Position

MITRE’s National Intelligence Division is seeking a Senior-level Intelligence Community (IC) Mission Data Innovation Engineer to serve as the technical lead for a sponsor directorate. This individual-contributor technical lead will provide hands-on data engineering and mission data modernization expertise, help shape the technical direction of MITRE’s support to the sponsor, and identify opportunities for innovative data, engineering, and integration approaches that create mission value. The role has no direct personnel-management responsibility.

The engineer will assess data and workflow challenges, guide modernization approaches, and apply emerging or innovative techniques. They will develop Python-based prototypes and proofs of concept to demonstrate how improved data integration, automation, and engineering practices can support operational decision-making. The role spans mission priorities, workflow and system analysis, technical architecture and trade-space decisions, and implementation sufficient to evaluate feasibility and inform delivery.

MITRE’s Mission Operations Department supports national intelligence mission centers by strengthening warning, collection, analysis, enterprise coordination, and strategy execution. MITRE is a nonprofit engineering, applied research, and advanced technology organization working in the public interest and supporting federally funded research and development centers for U.S. government agencies. This position requires at least four days per week onsite.

Requirements

• Typically at least 5 years of related experience with a Bachelor’s degree; or 3 years with a Master’s degree; or a PhD; or an equivalent combination of related education and work experience.
• Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Data Engineering, Information Systems, Systems Engineering, Mathematics, or a related technical field, or equivalent combination of education and experience.
• Hands-on experience designing, implementing, or modernizing data integration solutions and production data pipelines, translating mission or workflow needs into working technical implementations.
• Strong proficiency with Python and SQL for data processing, automation, analysis support, or systems integration.
• Experience with data integration methods and technologies such as ETL/ELT, APIs, batch processing, data modeling, schema design, and interface development.
• Experience assessing data quality, metadata, lineage, interoperability, and data lifecycle or data management practices in complex data environments.
• Experience developing technical requirements, data and system architecture artifacts, interface documentation, implementation plans, prototypes, proofs of concept, or test approaches.
• Understanding of Intelligence Community missions, organizations, data-sharing environments, operational workflows, and security considerations.
• Ability to operate effectively as an individual-contributor technical lead in a complex, classified, matrixed, and fast-paced sponsor environment, influencing technical outcomes across teams without direct supervisory authority.
• Exceptional written and verbal communication skills, including translating mission priorities and complex engineering issues into clear technical recommendations, facilitating decisions, and explaining tradeoffs to mission and senior technical stakeholders.
• Must have an active Top Secret/SCI with Poly U.S. Government-issued security clearance. Must be a U.S. citizen to be eligible for a security clearance.
• Must work onsite a minimum of four days per week.

Nice To Haves

• Prior experience as a technical lead, lead engineer, or senior technical advisor for data engineering, mission data modernization, enterprise integration, operational data workflows, or technical innovation in the Intelligence Community or broader national security enterprise.
• Experience supporting Counterterrorism (CT), Counterintelligence (CI), or other IC mission-specific data and analytic environments.
• Experience developing Python-based prototypes, proofs of concept, or automation connecting data, analytic, and operational workflows.
• Experience with modern enterprise integration approaches such as event-driven architectures, API-centric architectures, federated data services, data mesh, or data fabric.
• Experience with cloud or hybrid data platforms, distributed data processing, scalable storage and compute, and modern warehouse, lake, or lakehouse patterns.
• Experience applying DevSecOps or DataOps practices, including automated testing, CI/CD, infrastructure as code, containerized services, or repeatable deployment patterns.
• Experience enabling analytics or AI/ML use cases through data engineering, including scalable data preparation and AI-ready data architectures.
• Experience modernizing legacy data environments and managing technical transition risk across multiple systems or mission stakeholders.
• Ability to build trust quickly with mission stakeholders and operate with discretion, sound judgment, and minimal direction.
• Experience leading technical integration across multiple IC elements, mission stakeholders, and technical organizations to align mission data strategy, architecture, engineering, dependencies, and implementation activities.

Responsibilities

• Serve as the technical lead for a sponsor directorate, providing technical leadership and engineering judgment across mission data modernization, integration, analytics enablement, and operational decision-support efforts.
• Partner with directorate leadership, mission stakeholders, analysts, architects, developers, and technical communities to translate mission priorities and operational workflows into technical direction, engineering requirements, and sequenced approaches.
• Assess data, systems, interfaces, architectures, and workflows across related efforts, identifying data quality, integration, interoperability, automation, usability, dependency, and modernization challenges.
• Shape solution architecture and technical trade-space decisions, and design and implement data engineering solutions involving ingestion, transformation, integration, data models, APIs, and workflow automation across cloud, hybrid, and legacy environments.
• Lead technical discovery and develop Python-based prototypes and proofs of concept to evaluate approaches, demonstrate feasibility, test integration patterns, reduce technical risk, and inform implementation decisions.
• Establish and promote engineering practices and data visualization standards that improve data quality, usability, interpretability, interoperability, and readiness for analysis and operational use.
• Identify and communicate technical tradeoffs, risks, dependencies, and opportunities for reuse, while developing pragmatic solutions in constrained environments.
• Develop and communicate technical strategy, architecture and engineering recommendations, requirements, implementation approaches, assessments, and briefings.
• Help shape the technical portfolio by identifying promising technical approaches and innovation opportunities, and serve as a trusted technical integrator across Government, MITRE, and contractor teams.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior