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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Palantir Developer - **Company:** Guidehouse Inc. - **Location:** United States (Remote available) - **Salary:** $85,000.0 - $141,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Microsoft Azure, Big Data, Information Systems, Databases, Data Governance, Decision Support Systems, Graph Database, Python (Programming Language), Machine Learning, Meta-Data Management, Natural Language Processing, Scrum Methodology, Azure Data Lake, Search Technologies, Software Engineering, SQL Databases, Systems Integration, Unstructured Data, Enterprise Data Management, Google Cloud, Enterprise Software Applications, Azure Data Factory, Fast Healthcare Interoperability Resources, Apache Spark, Sap Business Objects, Microsoft Fabric, Pyspark, Information Technology, Health Level Seven International, Data Pipelines, Devsecops, Databricks, Programming Languages - **Published:** July 7, 2026 - **Apply:** https://guidehouse.wd1.myworkdayjobs.com/External/job/US---Remote-Any-location/Palantir-Developer_41650 ## About the Role * Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Mathematics, or related field (or equivalent professional experience). * 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. * Strong proficiency 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 platforms (Azure, AWS, Google cloud services) and modern enterprise data architectures. * Familiarity with Agile software development methodologies and DevSecOps best practices. * Strong analytical, problem-solving, and communication skills. * Ability to work independently and collaboratively in a fast-paced environment while delivering high-quality technical solutions. * Experience implementing enterprise data governance, metadata management, lineage, and role-based access controls. * Experience working in fast-paced, matrixed organizations What Would Be Nice To Have: * Experience with Palantir Artificial Intelligence Platform (AIP). * Experience integrating Palantir with Databricks, Apache Spark, Azure Data Factory, Azure Data Lake, Microsoft Fabric, or AWS services. * Experience supporting AI/ML, natural language processing, knowledge graphs, semantic search, or advanced analytics solutions. * Experience supporting public health, healthcare, life sciences, biomedical research, or epidemiology programs. * Experience working with health data and health data standards such as FHIR, HL7, LOINC, SNOMED CT, or laboratory and surveillance data. * Experience supporting federal agencies such as CDC, HHS, NIH, CMS, FDA, or VA. * Experience in consulting environments supporting multidisciplinary technical teams. * Palantir Foundry, Palantir AIP, Azure, AWS, Databricks, or related technical certifications. ## Description * 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. ## Related Videos - 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