This role involves designing, developing, configuring, and maintaining data integration, analytics, and operational solutions using Palantir Foundry and related enterprise data platforms. The engineer will build and maintain scalable data pipelines, transformations, and reusable data products to support operational reporting, advanced analytics, AI, and decision support. A key part of the role includes developing and maintaining Palantir Ontology models, business objects, relationships, actions, and workflows. Additionally, the engineer will design and develop user-facing applications using Foundry Workshops and other Palantir application development capabilities. Data integration from various sources like cloud platforms, enterprise applications, APIs, databases, and external data sources will be a core responsibility, using scalable and secure integration patterns. Solutions will be developed and optimized using Python, SQL, and other modern programming languages for large-scale data processing and analytics. The role also emphasizes implementing data quality, validation, metadata management, lineage, and governance practices to ensure trusted, reusable, and well-documented data assets. Collaboration with cross-functional teams including data engineers, architects, data scientists, analysts, product owners, and business stakeholders is crucial for translating mission and business requirements into technical solutions. Support for Agile software development activities such as sprint planning, backlog refinement, testing, deployment, troubleshooting, and continuous improvement is expected. The engineer will also prepare technical documentation and support technical modernization initiatives involving cloud platforms, enterprise data ecosystems, and AI-enabled analytics solutions. A requirement for this position is the ability to obtain and maintain a Public Trust or higher federal security clearance.
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Job Type
Full-time
Career Level
Entry Level
Education Level
Associate degree