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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Palantir Foundry Use Case Engineer - **Company:** Talent Twist Staffing Services LLC - **Location:** United States - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Amazon Web Services, Batch Processing, Big Data, Mobile Application Development, Cloud Computing, Cloud Database, Code Review, Continuous Integration, Custom Software, Information Engineering, Data Governance, Data Transformation, Data Warehousing, Database Development, Database Queries, Dimensional Modeling, Distributed Data Store, Electronic Data Interchange (EDI), Iterative and Incremental Development, Interoperability, Python (Programming Language), Pattern Recognition, Performance Tuning, Scrum Methodology, Standard Sql, Software Repository, Enterprise Software Applications, Real Time Systems, Data Ingestion, Sql Optimization, Palantir Foundry, Pyspark, Data Lineage, Deployment Automation, Software Coding, Stream Processing, Data Pipelines - **Published:** October 10, 2026 - **Apply:** https://www.careerjet.com/job/us966dc73857be2cc27422ea6622a0531d/eaa ## About the Role * Datasets * Pipelines * Ontology * Contour * Workshop * Slate * Strong experience with ontology-based data modeling for enterprise analytics. * Experience with cloud-native environments, particularly AWS. * Experience with distributed data systems. * Experience working in: * Agile environments * POD-based delivery models * Short sprint cycles * Business demo and feedback cycles * Strong Python skills. * Strong SQL skills. * PySpark experience strongly preferred. Good-to-Have Skills * Experience building business-facing dashboards and analytics for: * Quality * Manufacturing * Supply Chain * Customer Analytics * Understanding of: * Data governance * Usage monitoring * Data standardization * Center of Excellence (CoE) practices * Exposure to applied analytics. * Exposure to pattern detection using Palantir Foundry., Cloud Skills * AWS * Cloud-native environments. * Distributed data systems. * Cloud-based data processing. * Cloud data integration. * Performance and cost optimization. Agile & Collaboration * Experience working in Agile/POD-based environments. * Experience delivering in short sprint cycles. * Participate in business demos. * Incorporate frequent stakeholder feedback. * Strong communication skills. * Collaborate effectively with technical and business teams. ## Description * Configure, build, and operationalize business use cases on the Palantir Foundry platform. * Focus on: * Rapid use-case configuration * Ontology modeling * Data pipeline development * Business-facing analytics * Foundry-native application development * Work within a Palantir Center of Excellence (CoE) delivery model. * Deliver solutions through agile, business-led 2-week sprint cycles. * Translate business problems into Palantir-native solutions. * Prioritize rapid configuration, structured delivery, and governance rather than heavy custom coding. Mandatory Technical Skills * Hands-on experience configuring Palantir Foundry use cases., Use Case Configuration & Delivery * Configure end-to-end Palantir Foundry use cases. * Implement: * Data ingestion * Ontology setup * Data transformations * Analytics dashboards * Rapidly deliver business-facing applications using: * Datasets * Pipelines * Ontology Manager * Contour * Workshop * Slate * Work in 2-week Agile sprints. * Participate in frequent business demos. * Incorporate business feedback into iterative development. * Enable rapid business value through configuration rather than extensive custom development. Ontology & Data Modeling * Design and configure ontology-driven data models. * Model business entities and processes such as: * Quality * Supply Chain * Sales * Manufacturing * Customer Analytics * Define and maintain: * Objects * Relationships * Actions * Business metrics * Ensure consistency of object definitions and relationships. * Follow governance standards established by the CoE. Data Pipelines & Transformations * Design and develop end-to-end data pipelines using Palantir Foundry. * Use: * Code Repositories * Pipeline Builder * Transforms * Workshop * Contour * Build and maintain curated datasets. * Establish data lineage. * Implement data quality controls across: * Ingestion * Transformation * Serving layers * Develop transformations using: * Python * PySpark * SQL * Optimize pipelines for: * Performance * Reliability * Scalability * Cost efficiency * Support large-scale datasets. * Implement batch and near-real-time data processing patterns. * Integrate multiple enterprise data sources through Foundry data connections and ingestion frameworks. Business Enablement & Adoption * Partner with: * Product Owners * Business Analysts * Business Stakeholders * Translate business requirements into configured Foundry solutions. * Support self-service analytics. * Create documentation and walkthroughs for configured use cases. * Monitor application usage and adoption. * Use usage insights to guide: * Enhancements * Prioritization * Continuous improvement Data Governance & Security * Implement data governance practices within Foundry. * Configure and manage: * Access controls * Data policies * Platform standards * Auditing * Ensure security and compliance requirements are met. * Maintain data quality and standardization. * Support data lineage and governance across enterprise datasets. Integration & Interoperability * Integrate Palantir Foundry with enterprise systems. * Work with: * APIs * Connectors * Data connections * Enterprise ingestion frameworks * Support data interoperability patterns. * Enable reliable data exchange between Foundry and enterprise platforms. CI/CD & Development Practices * Establish CI/CD practices for Foundry Code Repositories. * Perform peer code reviews. * Enforce coding standards. * Maintain reusable and maintainable Foundry code. * Support automated deployment practices where applicable. Production Support * Troubleshoot production issues. * Perform root-cause analysis. * Resolve data and pipeline issues. * Improve application and pipeline reliability. * Optimize performance and cost. * Drive continuous improvement initiatives. Required Technical Skills * Palantir Foundry * Palantir Core * Foundry Transforms * Pipeline Builder * Foundry Code Repositories * Foundry Ontology * Ontology Manager * Contour * Workshop * Slate * Python * PySpark * SQL * AWS * Data Modeling * Data Warehousing * Dimensional Modeling * Data Quality * Data Lineage * Data Governance * Access Controls * APIs * Data Connectors * CI/CD * Agile * Batch Processing * Near-Real-Time Data Processing Data Engineering Skills * End-to-end data pipeline development. * Curated dataset development. * Data ingestion. * Data transformation. * Data quality validation. * Data lineage. * Data warehousing. * Dimensional modeling. * Large-scale data processing. * Batch processing. * Near-real-time processing. * Pipeline performance optimization. * Complex SQL development. * Complex joins. * Window functions. * SQL optimization.