Remote Position

Palantir Consultant

🌍 Remote · United States 💼 Full-time

Job Title: Palantir Consultant Experience: 5–10+ Years Employment Type: Contract Work Mode: Remote The consultant will work closely with business stakeholders, data engineers, architects, and technical teams to design, develop, and implement scalable data-driven solutions using Palantir technologies. Key Responsibilities - Design, develop, and implement solutions using Palantir Foundry and/or Gotham. - Build and maintain data pipelines, workflows, and data integration processes. - Work with large and complex datasets from multiple enterprise systems. - Develop data transformations using Python, SQL, PySpark, and related technologies. - Build analytical applications, dashboards, and business workflows within Palantir Foundry. - Work with Ontology, object types, links, actions, and operational workflows. - Integrate Palantir with external systems, APIs, cloud platforms, and enterprise applications. - Collaborate with business stakeholders to understand requirements and translate them into technical solutions. - Troubleshoot, optimize, and maintain existing Palantir implementations. - Ensure data quality, security, governance, and performance across solutions. Required Skills & Qualifications - 5+ years of experience in data engineering, software engineering, or enterprise technology consulting. - Hands-on experience with Palantir Foundry and/or Palantir Gotham. - Strong knowledge of Python and SQL. - Experience with data integration, ETL/ELT, and data pipeline development. - Knowledge of Palantir Ontology and Foundry application development. - Experience working with APIs and enterprise data systems. - Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform. - Strong analytical, problem-solving, and communication skills. - Ability to work directly with business and technical stakeholders. Preferred Qualifications - Palantir Foundry certifications or relevant project experience. - Experience with PySpark, Spark, and distributed data processing. - Knowledge of data governance, security, and access management. - Experience in healthcare, life sciences, pharmaceutical, financial services, or other enterprise domains. - Previous experience in consulting or client-facing implementation projects.

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