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. Integration of data from various sources, including cloud platforms, enterprise applications, APIs, databases, and external data sources, using scalable and secure integration patterns is also a responsibility. The role requires developing and optimizing solutions using Python, SQL, and other modern programming languages for large-scale data processing and analytics. Implementing data quality, validation, metadata management, lineage, and governance practices is crucial for ensuring 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 essential to translate mission and business requirements into scalable technical solutions. The position also supports Agile software development activities and requires preparation of technical documentation. Finally, the role will support technical modernization initiatives involving cloud platforms, enterprise data ecosystems, and AI-enabled analytics solutions.
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Job Type
Full-time
Career Level
Senior