• 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.
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