Palantir Foundry Engineer

• Design, develop, configure, and maintain data integration, analytics, and operational solutions using Palantir Foundry and related enterprise data platforms.
• Build and maintain scalable data pipelines, transformations, and reusable data products supporting operational reporting, advanced analytics, AI, and decision support.
• Develop and maintain Palantir Ontology models, business objects, relationships, actions, and workflows that support operational and analytical use cases.
• Design and develop user-facing applications using Foundry Workshops and other Palantir application development capabilities.
• Integrate data from cloud platforms, enterprise applications, APIs, databases, and external data sources using scalable and secure integration patterns.
• Develop and optimize solutions using Python, SQL, and other modern programming languages for large-scale data processing and analytics.
• Implement data quality, validation, metadata management, lineage, and governance practices to ensure trusted, reusable, and well-documented data assets.
• Collaborate with data engineers, architects, data scientists, analysts, product owners, and business stakeholders to translate mission and business requirements into scalable technical solutions.
• Support Agile software development activities including sprint planning, backlog refinement, testing, deployment, troubleshooting, and continuous improvement.
• Prepare technical documentation including system diagrams, data flow diagrams, solution documentation, standard operating procedures, and implementation guides.
• Support technical modernization initiatives involving cloud platforms, enterprise data ecosystems, and AI-enabled analytics solutions.
• Ability to obtain and maintain a Public Trust or higher federal security clearance, as required.

Data Science & Analysis

Up to 10%

Ability to Obtain Public Trust

• Design, develop, configure, and maintain data integration, analytics, and operational solutions using Palantir Foundry and related enterprise data platforms.
• Build and maintain scalable data pipelines, transformations, and reusable data products supporting operational reporting, advanced analytics, AI, and decision support.
• Develop and maintain Palantir Ontology models, business objects, relationships, actions, and workflows that support operational and analytical use cases.
• Design and develop user-facing applications using Foundry Workshops and other Palantir application development capabilities.
• Integrate data from cloud platforms, enterprise applications, APIs, databases, and external data sources using scalable and secure integration patterns.
• Develop and optimize solutions using Python, SQL, and other modern programming languages for large-scale data processing and analytics.
• Implement data quality, validation, metadata management, lineage, and governance practices to ensure trusted, reusable, and well-documented data assets.
• Collaborate with data engineers, architects, data scientists, analysts, product owners, and business stakeholders to translate mission and business requirements into scalable technical solutions.
• Support Agile software development activities including sprint planning, backlog refinement, testing, deployment, troubleshooting, and continuous improvement.
• Prepare technical documentation including system diagrams, data flow diagrams, solution documentation, standard operating procedures, and implementation guides.
• Support technical modernization initiatives involving cloud platforms, enterprise data ecosystems, and AI-enabled analytics solutions.
• Ability to obtain and maintain a Public Trust or higher federal security clearance, as required.

• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Mathematics, or STEM related field; in lieu of degree FOUR (4) additional years of experience is required
• TWO (2) or more years of experience developing solutions using Palantir Foundry, including data pipelines, transformations, data products, and application development.
• Experience developing Foundry Workshops and operational applications.
• Experience designing and implementing Ontology models supporting operational or analytical workflows.
• Experience with SQL and Python (particularly PySpark)
• Experience integrating structured and unstructured data from multiple enterprise data sources.
• Experience implementing data quality, validation, testing, and governance processes.
• Experience working with cloud…