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.
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Job Type
Full-time
Career Level
Mid Level