Palantir Foundry Data Engineer

Palantir Foundry

Technology->Data Engineering->Palantir Foundry Experience with big data technologies (Hadoop, Spark, Kafka) Knowledge of cloud platforms (AWS, Azure, GCP) Experience in data governance and security Prior consulting or client-facing experience Data Engineering & Pipeline Development Build and maintain scalable data pipelines using Palantir Foundry (Code Repositories, Pipelines, Ontology) Perform data ingestion, transformation, and integration from multiple sources Ensure data quality, integrity, and reliability across datasets Foundry Platform Development Develop and manage workflows using Foundry tools (Pipeline Builder, Code Workbook, Workshop Apps) Implement business logic using Python, SQL, or PySpark Work with Foundry Ontology to model business entities and relationships Application Development Build user-facing applications using Foundry Workshop Create dashboards and analytics for business users Enable real-time or near-real-time insights Collaboration & Stakeholder Management Collaborate closely with business teams to understand requirements Translate business problems into data solutions Provide technical guidance on best practices Performance Optimization Optimize data pipelines for performance and scalability Monitor jobs and troubleshoot failures Implement efficient data models Technical Skills Hands-on experience with Palantir Foundry (mandatory for mid/senior roles) Strong SQL skills and experience with relational databases Proficiency in Python / PySpark / Spark Experience with ETL/ELT pipeline design Knowledge of data modeling concepts Platform Knowledge Foundry components: Code Repositories Ontology Pipeline Builder Workshop / Slate / Quiver Familiarity with distributed data processing General Skills Strong problem-solving skills Ability to work in agile environments Good communication and stakeholder engagement