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Data Engineer

Ryzen Solutions
  • Non-PG&E US Work Location, CA
  • Remote
  • $70
  • Instant Apply
30+ days ago

Job Description

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 

Numbers & Facts

LocationNon-PG&E US Work Location, CA (
Remote
)
Salary$70

Skills

  • Agile Programming Methodologiesunmatched
  • Amazon Web Services (AWS)unmatched
  • Apache Sparkunmatched
  • Asset Managementunmatched
  • Auditingunmatched
  • Business Operationsunmatched
  • Business Supportunmatched
  • Cloud Computingunmatched
  • Code Reviewsunmatched
  • Communication Skillsunmatched
  • Computer Scienceunmatched
  • Continuous Deployment/Deliveryunmatched
  • Continuous Integrationunmatched
  • Data Analysisunmatched
  • Data Managementunmatched
  • Data Modelingunmatched
  • Data Processingunmatched
  • Data Qualityunmatched
  • Data Warehousingunmatched
  • Database Extract Transform and Load (ETL)unmatched
  • DevOpsunmatched
  • Dimensional Modelingunmatched
  • ESRIunmatched
  • Energy & Utilitiesunmatched
  • Engineeringunmatched
  • Geographic Information Systems (GIS)unmatched
  • Gitunmatched
  • Grid Computingunmatched
  • IBM Maximo Asset Managementunmatched
  • Internet of Thingsunmatched
  • Leadershipunmatched
  • Machine Learningunmatched
  • Master Data Management (MDM)unmatched
  • Metadataunmatched
  • Microsoft Windows Azureunmatched
  • Ontologyunmatched
  • Operational Auditunmatched
  • Operational Supportunmatched
  • Operations Managementunmatched
  • Operations Processesunmatched
  • Performance Tuning/Optimizationunmatched
  • Power BIunmatched
  • Problem Solving Skillsunmatched
  • Python Programming/Scripting Languageunmatched
  • Reporting Dashboardsunmatched
  • Requirements Managementunmatched
  • SAPunmatched
  • SQL (Structured Query Language)unmatched
  • Scalable System Developmentunmatched
  • Smart Gridunmatched
  • Snowflake Schemaunmatched
  • Supervisory Control and Data Acquisition (SCADA)unmatched
  • System Operationsunmatched
  • Systems Engineeringunmatched
  • Technical Writingunmatched
  • Use Casesunmatched
  • Workflow Analysisunmatched

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