Palantir Foundry Engineer - Fourways Consulting Services
Job Title: Palantir Foundry Engineer Location: Remote Position Duration: 12 Month Contract Key Responsibilities: Design and develop scalable data pipelines in Palantir Foundry using tools such as Code Workbook, Foundry Ontology, and Slate . Ingest, transform, and model large volumes of structured and unstructured data from various sources (databases, APIs, flat files). Build and maintain Foundry ontologies and object models to support enterprise-wide data applications. Develop low-code/no-code applications , dashboards, and interactive UIs for end users using Foundry tools. Ensure data integrity, governance, and compliance through best practices and secure access controls. Monitor, debug, and optimize data pipeline performance and system reliability. Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to implement solutions aligned with business goals. Document technical solutions and provide knowledge transfer to other team members. Participate in Agile development practices, including sprint planning, daily stand-ups, and retrospectives. Required Qualifications: Bachelor s degree in Computer Science, Engineering, Data Science, or related field. 5+ years of hands-on experience with Palantir Foundry , including pipeline development, ontology modeling, and application building. Proficient in Python (PySpark) and SQL . Solid understanding of data integration, data modeling, and transformation techniques. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform. Experience working in Agile/Scrum environments. Strong communication skills and ability to work independently in a remote setting. Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity. Report this job Dice Id: 91170808 Position Id: 8764382