Experience working with cloud platforms and modern data engineering technologies. Design, build, and maintain data pipelines and workflows using Palantir Foundry .
Numbers & Facts
Location
San Francisco, CA
Salary
$63.63 Per Hour
Description
Job Title: Palantir Foundry Data Engineer
Location: San Francisco, CA
Duration: 6 months
GBaMS ReqID: 10950743
Industry: Utility / Energy
Primary Platform: Palantir Foundry
Position Summary
Design, build, and maintain data pipelines and workflows using Palantir Foundry.
Support advanced analytics and operational insights for the utility industry.
Integrate diverse data sources into Foundry.
Ensure data quality, governance, security, and reliability.
Enable real-time decision-making for:
Grid reliability
Asset management
Regulatory compliance
Predictive analytics
Technical Expertise
Hands-on experience with Palantir Foundry development and data integration.
Strong proficiency in:
Python
PySpark
SQL
Palantir Foundry-specific frameworks
Knowledge of utility data systems:
SCADA
GIS
OMS
ERP
Experience with cloud platforms:
AWS
Azure
Familiarity with containerization:
Docker
Kubernetes
Experience Required
3+ years of experience in:
Data Engineering
Related data engineering roles
Utility or energy industry experience preferred.
Experience working with cloud platforms and modern data engineering technologies.
Data Pipeline Development
Build and optimize workflows in Palantir Foundry.
Ingest data from:
SCADA
GIS
OMS
ERP systems
Develop scalable pipelines for:
Real-time sensor data
IoT data streams
Implement:
Data transformations
Data enrichment
Support analytics and reporting requirements.
Integration & Automation
Integrate structured and unstructured data sources into Palantir Foundry.
Automate:
Data ingestion
Data validation
Data processing
Ensure data accuracy and timeliness.
Collaborate with IT and OT teams to integrate operational and enterprise data systems.
Data Quality & Governance
Monitor and maintain data integrity across pipelines.
Apply enterprise data governance standards.
Ensure compliance with:
NERC CIP
FERC regulations
State regulations
Implement robust:
Security controls
Access controls
Maintain data quality and governance within Foundry.
Collaboration & Support
Work closely with:
Data scientists
Data analysts
Business teams
IT teams
OT teams
Deliver reliable datasets for:
Predictive analytics
Reporting
Operational insights
Provide technical support for Foundry workflows.
Create and maintain technical documentation.
Performance Optimization
Optimize workflows for:
High-volume data
High-velocity data
Real-time processing
Troubleshoot:
Pipeline failures
Performance bottlenecks
Data processing issues
Improve scalability and reliability of Foundry pipelines.
Real-Time & Streaming Technologies
Experience with real-time data streaming technologies preferred:
Kafka
Spark
Experience developing real-time sensor and IoT data pipelines.
Utility / Energy Domain Knowledge
Knowledge of:
Grid modernization
Distributed Energy Resources (DER) integration
Renewable energy forecasting
Utility operational systems
Familiarity with utility data from:
SCADA
GIS
OMS
ERP
Operations & Application Support
Willingness to work on application maintenance.
Understanding of application support models.
Experience with:
L1 application support
L2 application support
L3 application support
Ability to troubleshoot and resolve production issues.
Support application reliability and operational continuity.
Soft Skills
Strong problem-solving skills.
Strong analytical skills.
Excellent communication skills.
Ability to work effectively in cross-functional teams.
Ability to collaborate with technical and business stakeholders.