Bachelor's degree in Computer Science or related field
10+ years of software or data engineering experience, specifically in Palantir Foundry
Advanced experience in building production-grade data pipelines and managing datasets
Proficient in Python programming for both structured and unstructured datasets
Strong foundation in machine learning
Active Secret security clearance required
Responsibilities
Serve as a senior data engineer on the Palantir Foundry team for U.S. Army data migration
Design, build, and maintain production-grade data pipelines and ontologies
Develop transforms on structured and unstructured datasets, ensuring best practices
Set up data connection sources and sync tabular data from external systems
Provide data engineering context during ontology design and implement supporting pipelines
Investigate and resolve pipeline issues, enhancing performance for critical workflows
Collaborate with engineers and domain specialists to create actionable data roadmaps
Benefits
Remote work flexibility
Opportunity to work on mission-critical projects for the U.S. Army
Engagement with cutting-edge data engineering technologies
Collaboration with a diverse team of engineers and specialists
Potential for professional development and leadership opportunities
Full Job Description
Senior Data Engineer (Palantir Foundry)
Remote
Responsibilities:
Serves as a senior data engineer on the Palantir Foundry (Army Vantage) team migrating legacy U.S. Army enterprise data into production-grade pipelines, ontologies, and applications
Designs, builds, and maintains production-grade data pipelines, data connections, and ontologies in Palantir Foundry
Develops transforms on structured (tabular) and unstructured datasets, applying best practices for pipeline design, maintainability, and performance
Sets up Data Connection sources and syncs to ingest tabular data and raw files from external systems into Foundry
Provides data engineering context during ontology design and implements the pipelines backing ontology objects and links based on application requirements
Investigates and fixes pipeline issues, and contributes logic changes and performance improvements to transform pipelines feeding mission-critical workflows
Partners with engineers, program managers, and domain specialists to synthesize disparate data into an actionable roadmap and move rapidly from use case to prototype to scaled deployment
Works with legacy-system SMEs and testers to re-implement legacy transformation logic in Foundry and support source-to-target reconciliation
Requirements:
Bachelor's degree in Computer Science or a related field
10+ years of software engineering or data engineering experience, including proven hands-on delivery in Palantir Foundry
Advanced Palantir Foundry experience building pipelines, managing datasets, and deploying applications, including:
Production-grade data pipelines, data connections, and ontologies
Transforms on structured and unstructured datasets, including troubleshooting
Data Connection sources and syncs for tabular data and raw files
Pipelines that back ontology objects and links
Advanced Python programming skills, with a demonstrated ability to build production-grade code that leverages both structured and unstructured datasets
Strong foundation in machine learning
Willingness to travel as needed for client implementation work
Create, modify, and test the code, forms, and script that allow computer applications to run. Work from specifications drawn up by software developers or other individuals
Provides technical/management leadership on major tasks or technology assignments
Establishes goals and plans that meet project objectives. Has domain and expert technical knowledge
Directs and controls activities for a client, having overall responsibility for financial management, methods, and staffing to ensure that technical requirements are met
Interactions involve client negotiations and interfacing with senior management
Decision making and domain knowledge may have a critical impact on overall project implementation
