

Palantir Foundry Specialist - W2 Role
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Palantir Foundry Specialist on a W2 contract, offering a competitive pay rate. Key skills include expertise in data integration, transformation, analysis, and visualization using Python, PySpark, SQL, and TypeScript. Experience with Palantir Foundry is essential.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
September 25, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Reading, PA
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π§ - Skills detailed
#Spark SQL #TypeScript #Data Lifecycle #Visualization #Data Analysis #Data Modeling #"ETL (Extract #Transform #Load)" #Data Wrangling #Programming #Scala #Semantic Models #AI (Artificial Intelligence) #ML (Machine Learning) #Spark (Apache Spark) #Palantir Foundry #Datasets #PySpark #SQL (Structured Query Language) #Python #Data Integration
Role description
Palantir Foundry Expertise
β’ Data Integration: Proficient in connecting diverse data sources into Palantir Foundry through Data Connections, ensuring seamless ingestion and synchronization of structured and unstructured datasets.
β’ Data Transformation: Skilled in building scalable workflows using Code Repository and Pipeline Builder, applying PySpark/Spark and SQL for complex data wrangling, cleansing, and enrichment.
β’ Data Analysis: Hands-on experience with Contour and Quiver for advanced analytics, enabling data-driven decision-making and deep insights from large-scale datasets.
β’ Visualization & Reporting: Expertise in Foundryβs Workshop to design interactive dashboards, reports, and visualizations that empower stakeholders with actionable intelligence.
β’ Ontology Management: Strong understanding of Foundryβs Ontology framework, building semantic models that map real-world business processes and entities for operational efficiency.
Technical Skills
β’ Programming & Data: Python, PySpark, SQL, TypeScript.
β’ Data Modeling: Designing optimized data models to improve performance and accessibility in Foundry.
β’ Workflow Orchestration: Building pipelines and workflows to automate end-to-end data lifecycle processes.
β’ AI/ML Integration: Knowledge of Palantir AIP (Artificial Intelligence Platform) for embedding AI-powered decision-making into workflows.
Palantir Foundry Expertise
β’ Data Integration: Proficient in connecting diverse data sources into Palantir Foundry through Data Connections, ensuring seamless ingestion and synchronization of structured and unstructured datasets.
β’ Data Transformation: Skilled in building scalable workflows using Code Repository and Pipeline Builder, applying PySpark/Spark and SQL for complex data wrangling, cleansing, and enrichment.
β’ Data Analysis: Hands-on experience with Contour and Quiver for advanced analytics, enabling data-driven decision-making and deep insights from large-scale datasets.
β’ Visualization & Reporting: Expertise in Foundryβs Workshop to design interactive dashboards, reports, and visualizations that empower stakeholders with actionable intelligence.
β’ Ontology Management: Strong understanding of Foundryβs Ontology framework, building semantic models that map real-world business processes and entities for operational efficiency.
Technical Skills
β’ Programming & Data: Python, PySpark, SQL, TypeScript.
β’ Data Modeling: Designing optimized data models to improve performance and accessibility in Foundry.
β’ Workflow Orchestration: Building pipelines and workflows to automate end-to-end data lifecycle processes.
β’ AI/ML Integration: Knowledge of Palantir AIP (Artificial Intelligence Platform) for embedding AI-powered decision-making into workflows.