Palantir Foundry Data Engineer

Palantir Foundry Data Engineer

San Francisco, CA

12+ months

Role Descriptions:

• Data Pipeline Development-Build and optimize ETL workflows in Palantir Foundry for ingesting data from SCADA| AMI| 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.

Essential Skills:

• We are seeking a Palantir Foundry Data Engineer to design| build| and maintain data pipelines and workflows that power advanced analytics and operational insights for the utility industry.
• This role focuses on leveraging Palantir Foundry to integrate diverse data sources| ensure data quality| and enable real-time decision-making for grid reliability| asset management| and regulatory compliance.

Technical Expertise

• Hands-on experience with Palantir Foundry development and data integration.
• Strong proficiency in Python| SQL| and Foundry-specific frameworks.
• Knowledge of utility data systems (SCADA| AMI| GIS| OMS).
• Experience-3 years in data engineering or related roles| preferably in 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.

Supporting component : Typescript, pyspark, react js.

Education: At least a bachelor s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or a closely related field is required for the project