Sign upLog in

Data Engineer

Ryzen Solutions

Non-PG&E US Work Location, CA(remote)

Apply
JOB DETAILS
SALARY
$70
SKILLS
Agile Programming Methodologies, Amazon Web Services (AWS), Apache Spark, Asset Management, Auditing, Business Operations, Business Support, Cloud Computing, Code Reviews, Communication Skills, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Data Analysis, Data Management, Data Modeling, Data Processing, Data Quality, Data Warehousing, Database Extract Transform and Load (ETL), DevOps, Dimensional Modeling, ESRI, Energy & Utilities, Engineering, Geographic Information Systems (GIS), Git, Grid Computing, IBM Maximo Asset Management, Internet of Things, Leadership, Machine Learning, Master Data Management (MDM), Metadata, Microsoft Windows Azure, Ontology, Operational Audit, Operational Support, Operations Management, Operations Processes, Performance Tuning/Optimization, Power BI, Problem Solving Skills, Python Programming/Scripting Language, Reporting Dashboards, Requirements Management, SAP, SQL (Structured Query Language), Scalable System Development, Smart Grid, Snowflake Schema, Supervisory Control and Data Acquisition (SCADA), System Operations, Systems Engineering, Technical Writing, Use Cases, Workflow Analysis
LOCATION
Non-PG&E US Work Location, CA
POSTED
26 days ago
Data Engineer –Palantir Foundry, Spark, Snowflake, Power BI
Location: Oakland, CA (Hybrid) or remote
Position Summary
Pacific Gas & Electric (PG&E) is seeking a Data Engineer to design, develop, and support scalable data solutions that enable data-driven decision making across electric, gas, wildfire mitigation, asset management, operations, and grid modernization initiatives. The ideal candidate will have hands-on experience with Palantir Foundry, Spark/PySpark, Snowflake, and Power BI, and will be responsible for building enterprise-grade data pipelines, data models, and analytical solutions that support critical business operations.
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines using Palantir Foundry and Spark/PySpark.
  • Build and optimize ETL/ELT processes to ingest, transform, and curate data from enterprise systems, IoT devices, GIS systems, and operational applications.
  • Develop data models and ontology structures within Palantir Foundry to support operational and analytical use cases.
  • Create and maintain Snowflake data warehouse solutions for reporting and advanced analytics.
  • Develop Power BI dashboards and reports that provide actionable insights to business stakeholders.
  • Implement data quality, validation, auditing, lineage, and governance frameworks.
  • Collaborate with business partners, product owners, and leadership to translate business requirements into technical solutions.
  • Optimize data processing performance and scalability across cloud and on-premise environments.
  • Support real-time and batch processing workloads for utility operations and asset management.
  • Document technical architecture, data flows, and operational procedures.
  • Participate in Agile ceremonies, code reviews, and DevOps practices.
  • Mentor junior engineers and promote data engineering best practices.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
  • 5+ years of Data Engineering experience.
  • 3+ years of experience with Palantir Foundry.
  • Strong experience with Python and PySpark.
  • Hands-on experience with Apache Spark and distributed data processing.
  • Experience developing enterprise data solutions in Snowflake.
  • Experience building interactive dashboards using Power BI.
  • Strong SQL development skills.
  • Knowledge of data warehousing, dimensional modeling, and ETL/ELT frameworks.
  • Experience with Git, CI/CD pipelines, and Agile methodologies.
  • Strong problem-solving and communication skills.
Preferred Qualifications
  • Experience supporting utility, energy, electric grid, or gas operations.
  • Knowledge of wildfire mitigation, asset management, GIS, or smart grid technologies.
  • Experience with AWS, Azure, or Google Cloud.
  • Experience with data governance, master data management, and metadata management.
  • Familiarity with machine learning and advanced analytics workflows.
  • Experience integrating SAP, Maximo, ESRI, SCADA, or IoT data sources.
  • Palantir Foundry certifications preferred.
Technical Skills
Data Engineering
  • Palantir Foundry
  • Python
  • PySpark
  • Apache Spark
  • SQL
  • Snowflake
Visualization & Analytics
  • Power BI


    Pay Rate: Starts at 60/hr + based on experience 

About the Company

R

Ryzen Solutions

Resume Resources

Free Resume TemplatesFree Resume Builder