Foundry Data Engineer

Overview

On Site
Full Time

Skills

Governance
Documentation
Amazon Web Services
ERP
Enterprise Resource Planning
Docker
Kubernetes
Python
Datasets
SQL
Problem-Solving
Regulatory Compliance
Kafka
Data Integration
ETL
Data Quality
Asset Management
Performance Optimization
Data Sources
Data Governance
Unstructured Data
Data Pipelines
Real-Time
Pipeline
Forecasting
Technical Support
Containerization
Maintain Data
GIS
Predictive Analytics
Scada
Utility Industry
Sensor
DER
FERC

Job Details

Position: Foundry Data Engineer

Location: Oakland, CA(Onsite)

Duration: Fulltime

Job Description

Must Have Technical/Functional 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.

Roles & Responsibilities

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.