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$79.7K

$128.5K

How much do pge jobs pay per year?

As of Jun 4, 2026, the average yearly pay for pge in the United States is $79,671.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $94,500.00 per year, depending on experience, location, and employer.

What is a Pge job?

A PG&E job refers to a position at Pacific Gas and Electric Company, a major utility provider in California. PG&E offers roles in various fields, including engineering, customer service, operations, and environmental safety. Employees work to maintain and improve energy services, ensuring the safe and reliable delivery of electricity and natural gas. Job responsibilities vary based on the role but typically involve infrastructure maintenance, regulatory compliance, and customer support.

What are the key skills and qualifications needed to thrive in the Pge position, and why are they important?

To thrive as a Power Generation Engineer (PGE), you need a strong background in electrical or mechanical engineering, combined with experience in power plant operations and maintenance. Familiarity with industry-standard software such as AutoCAD, SCADA systems, and relevant safety certifications are typically required. Excellent problem-solving, teamwork, and effective communication skills help you excel in this collaborative and dynamic environment. These proficiencies are critical for ensuring efficient and safe operation of power generation facilities, minimizing downtime, and supporting compliance with regulatory standards.

What are the most common challenges faced by a Power Generation Engineer in daily operations?

Power Generation Engineers often encounter challenges such as troubleshooting complex equipment malfunctions, optimizing plant efficiency under varying load demands, and ensuring strict adherence to safety and environmental regulations. They may also need to coordinate with cross-functional teams, including operations, maintenance, and compliance personnel, to address unexpected issues and plan preventative maintenance. Staying up-to-date with evolving technologies and best practices in the power generation sector is important for continuous improvement. While these challenges can be demanding, they also offer valuable opportunities for professional growth and problem-solving in a critical industry.
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What cities are hiring for Pge jobs? Cities with the most Pge job openings:
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Pge jobs near you
Infographic showing various Pge job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $79,671 per year, or $38.3 per hour.
Lead Data Engineer (Snowflake Optimization)

Lead Data Engineer (Snowflake Optimization)

Xoriant Corporation

Portland, OR • Hybrid

$108K - $143K/yr

Other

Posted 10 hours ago

Job description

RESUMES without LINKEDIN profile wont get any response.

Position Title: Lead Data Engineer (Snowflake Optimization)

Location: 6 Months with possibility of extension

Duration: Portland, OR (Hybrid 3 days)

 

Role Summary

The Senior Snowflake Optimization Engineer will lead the assessment, rearchitecture, and optimization of PGE’s Snowflake data platform.
This role will act as the technical lead and primary onsite interface for Snowflake optimization initiatives, working closely with PGE stakeholders, data engineering teams, and Matillion pipelines.

Key Responsibilities

Snowflake Cost & Performance Optimization

  • Assess current Snowflake warehouse usage, sizing, autoscaling, and autosuspend configurations.
  • Identify cost drivers across Matillion jobs, adhoc analytics, and background workloads.
  • Optimize warehouse strategies (multicluster usage, workload isolation, resource monitors).
  • Analyze query history and execution plans to reduce compute inefficiencies.

Architecture & Reengineering

  • Review existing Snowflake schemas, tables, tasks, and pipelines for architectural improvements.
  • Recommend and implement Snowflakenative optimizations (dynamic tables, tasks, result caching where appropriate).
  • Evaluate opportunities for hybrid compute (external tables, Iceberg, Spark/EMR) where costeffective.
  • Advise on data lifecycle, retention, and archival strategies to reduce storage footprint.

Matillion & Pipeline Optimization

  • Review Matillion ELT jobs for Snowflake best practices (pushdown transforms, avoiding rowbyrow logic).
  • Improve pipeline execution efficiency and runtime SLAs.
  • Define reusable optimization patterns and templates.

Governance & Cost Control

  • Help establish cost governance, monitoring, and guardrails.
  • Support chargeback / showback models if required by PGE.
  • Provide recommendations to ensure savings are sustainable postengagement.

Stakeholder & Delivery Leadership

  • Act as the onsite technical lead, coordinating with PGE architects, developers, and business users.
  • Lead technical workshops, optimization reviews, and recommendations walkthroughs.
  • Provide documentation, implementation guidelines, and knowledge transfer to PGE teams.
  • Support stabilization and postimplementation tuning.

 

Required Skills & Experience

Technical Skills

  • Strong handson experience with Snowflake architecture, performance tuning, and cost optimization
  • Deep understanding of: 
    • Snowflake warehouses, clustering, caching, tasks, dynamic tables
    • Query profiling and execution plans
  • Experience with Matillion ELT on Snowflake
  • Solid knowledge of AWS (S3, security, cost considerations)
  • SQL performance tuning and data modeling experience

 

Good to Have

  • Experience with Iceberg / external tables / Spark or EMR
  • Exposure to Snowflake Cortex or advanced Snowflake features
  • CI/CD for data platforms (GitHub/GitLab/Jenkins)
  • Data governance and cost management frameworks

 

Experience Level

  • 8–12+ years in data engineering / cloud data platforms
  • 3–5+ years of focused Snowflake optimization experience
  • Prior experience in onsite consulting or lead roles preferred

Apply