Position: Palantir Foundry Data Engineer Type: Contract Location: San Francisco, CA-Onsite Domain : U tility T echnical Expertise • Hands-on experience with Palantir Foundry development and data integration. • Strong proficiency in Python, pyspark, SQL, and Foundry-specific frameworks. • Knowledge of utility data systems (SCADA, GIS, OMS). Experience • 3+ years in data engineering or related roles, preferably in the utilities or energy sector. • Familiarity with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes). Soft Skills • Strong problem-solving and analytical skills. • Ability to work in cross-functional teams and communicate effectively. Preferred Qualifications • Experience with real-time data streaming technologies (Kafka, Spark). • Knowledge of grid modernization, DER integration, and renewable forecasting. • Certifications in Palantir Foundry or data engineering. Roles & Responsibilities Data Pipeline Development • Build and optimize workflows in Palantir Foundry for ingesting data from SCADA, GIS, OMS, and ERP systems. • Develop scalable pipelines for real-time sensor data and IoT streams. • Implement data transformations and enrichment to support analytics and reporting. Integration & Automation • Integrate structured and unstructured data sources into Foundry. • Automate data ingestion and validation processes to ensure accuracy and timeliness. • Collaborate with IT and OT teams to bridge operational and enterprise data systems. Data Quality & Governance • Monitor and maintain data integrity across all pipelines. • Apply data governance standards and ensure compliance with NERC CIP, FERC, and state regulations. • Implement robust security and access controls within Foundry. Collaboration & Support • Work closely with data scientists, analysts, and business teams to deliver reliable datasets for predictive analytics and reporting. • Provide technical support and documentation for Foundry workflows. Performance Optimization • Optimize workflows for high-volume, high-velocity data. • Troubleshoot and resolve pipeline failures and performance bottlenecks. Operations: • Ready to work in maintenance of the application • Well aware of support model with L1,L2,L3 application support experience. — Dinesh Balaji S | Executive-Talent Acquisition M: + 12484221584 | E: Dinesh.s@twsol.com Related