C4PS-2510 Senior Data Engineer - AUG 2026

C4 Planning Solutions, LLC•Quantico, VA

6d•$185,000 - $215,000•Hybrid

About The Position

Leads the design and implementation of a federated Marine Corps data environment leveraging the War Data Platform (WDP), Palantir Foundry, and Databricks. This position directly supports priority modernization initiatives for senior Marine Corps leadership. Serves as a senior technical lead responsible for architecting scalable, interoperable, and mission-focused data solutions capable of operating across distributed and contested mission environments. This role requires deep hands-on expertise in enterprise data engineering, platform integration, operational data workflows, and modern data architectures within complex Department of Defense ecosystems. This position is embedded onsite at MARCORSYSCOM in Quantico, VA. HYBRID - 2/3 days per week on-site.

Requirements

Expert-level experience with Palantir Foundry, including operational ontologies, pipeline development, workflow engineering, data integration, and application development
Strong hands-on experience with Databricks, Spark, lakehouse architectures, distributed data processing, and large-scale data engineering frameworks
Proven experience supporting or integrating with the War Data Platform (WDP/Advana) or comparable DoD enterprise data platforms
Demonstrated experience designing federated or distributed enterprise data architectures
Experience developing scalable ETL/ELT pipelines and integrating complex multi-source datasets
Strong understanding of enterprise data interoperability, API integration, metadata management, and data governance principles
Experience supporting classified, tactical edge, or disconnected operational environments
Familiarity with cloud-native and hybrid architectures supporting secure government operations
Experience working within Agile and DevSecOps development environments
Strong communication skills with the ability to engage technical teams and senior government leadership
CompTIA Security+
8+ years of experience

Nice To Haves

Experience supporting Marine Corps, Navy, or broader DoD digital modernization initiatives
Familiarity with CJADC2 concepts, operational data fabrics, and mission command systems
Experience integrating Palantir Foundry and Databricks within enterprise environments
Knowledge of IL5/IL6 security environments and DoD data governance frameworks
Experience supporting AI/ML operationalization and data enablement efforts
Familiarity with tactical, operational, logistics, intelligence, or warfighting data environments
Must be able to obtain or possess a valid US Passport and be physically qualified to support military exercises and contingency operations.
Experience working with customers, addressing issues, and managing customer concerns and requests over the phone and/or in person.
Strong active listening, data entry, and documentation skills.
Experience writing technical solutions and commercial knowledgebase articles.
Expert analytical and troubleshooting skills, attention to detail, and consistent resolution of IT problems.
Experience supporting Marine Corps C4I systems and equipment.
Minimum of 8 years’ experience in military training and education.
Direct participation in real-world operations is desired.
Willing to work in a 24x7x365 secured environment, demonstrate intuitive problem-solving skills, and allow for flexible scheduling.

Responsibilities

Lead the architecture, engineering, and integration of enterprise-scale data environments leveraging War Data Platform (WDP), Palantir Foundry, and Databricks
Design and implement a federated Marine Corps Foundry enterprise architecture supporting distributed mission operations from tactical edge to enterprise environments
Develop and maintain scalable ETL/ELT pipelines supporting structured and unstructured data ingestion, transformation, synchronization, and analytics
Engineer interoperable data workflows across WDP, Palantir Foundry, Databricks, and other DoD enterprise systems
Support secure data integration and operational workflows across classified, disconnected, intermittent, and low-bandwidth environments
Design and implement enterprise data models, ontologies, governance frameworks, and operational data workflows
Support real-time and near-real-time data synchronization across distributed mission environments
Advise government leadership on enterprise data architecture strategy, scalability, resilience, interoperability, and modernization initiatives
Collaborate with engineers, mission owners, platform teams, and operational stakeholders to translate mission requirements into technical solutions
Support DevSecOps, cloud-native architectures, automation, and secure software/data delivery pipelines
Enable AI/ML-ready data environments supporting operational analytics and future warfighting capabilities