Data Engineer (Palantir Foundry)

Foundry Data Engineer Location: New York, NY (Hybrid – 2–3 days onsite)Duration: 12-month contractHourly Rate: $90–$110/hrAbout the RoleWe’re seeking an experienced Data Engineer with strong expertise in Palantir Foundry to support the design, development, and optimization of enterprise-scale data workflows. This role will work closely with business stakeholders, analysts, and engineering teams to build robust data pipelines and deliver actionable insights.Key Responsibilities·Build and maintain Foundry data pipelines to integrate siloed enterprise data (ERP, CRM, operational systems) into a unified platform for decision-making·Develop transformation logic to standardize and clean inconsistent data across business units, enabling accurate reporting and analytics·Design and manage ontology layers to reflect real-world business entities (e.g., customers, assets, transactions) for operational use cases·Partner with stakeholders to translate complex business processes into scalable data workflows that support daily operations·Monitor pipeline performance and resolve data quality issues to ensure reliability formission-critical dashboards and applications· Support deployment of data products that drive use cases such as forecasting, supply chain optimization, or risk analysisRequired Qualifications3–6+ years of experience in data engineering or analytics engineering3+ Hands-on experience with Palantir Foundry (pipelines, transforms, ontology, Code Repos)Strong SQL and Python skillsExperience with distributed data processing and ETL/ELT frameworksFamiliarity with Git-based workflows and CI/CD practicesAbility to work in a fast-paced, client-facing environmentPreferred QualificationsExperience in finance, healthcare, or supply chain domainsExposure to cloud platforms (AWS, Azure, or GCP)Experience supporting operational analytics or real-time decision systemsPrior consulting or stakeholder-facing experienceWork EnvironmentHybrid model: 2–3 days onsite in NYC, remainder remoteCollaborative, cross-functional team environmentOpportunity to work on high-impact data initiatives