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Remote Solar Performance Engineer Jobs in Hemet, CA

iShare Inc

Data Engineer GCP AWS & Databricks

Redlands, CA · Remote

$45 - $50/hr

Remote - United States Employment Type: Contract Experience Required: 6+ Years Position Overview We ... Improve pipeline performance, reliability, scalability, and cost efficiency. * Implement data ...

New

micro1 AI

Senior Database Reliability Engineer

Menifee, CA · Remote

$220K - $260K/yr

Remote Job Summary: Join our team as a Senior Database Reliability Engineer, where you'll play a ... performance at scale within a cutting-edge, cloud-native infrastructure. This is an excellent ...

micro1 AI

Senior Database Reliability Engineer

Corona, CA · Remote

$220K - $260K/yr

Remote Job Summary: Join our team as a Senior Database Reliability Engineer, where you'll play a ... performance at scale within a cutting-edge, cloud-native infrastructure. This is an excellent ...

micro1 AI

Senior Database Reliability Engineer

Corona, CA · Remote

$220K - $260K/yr

Remote Job Summary: Join our team as a Senior Database Reliability Engineer, where you'll play a ... performance at scale within a cutting-edge, cloud-native infrastructure. This is an excellent ...

Tunabear

Sr. Peoplesoft HCM Developer

Riverside, CA · Remote

Contract length: through FY26 (June 30) + extension * 100% remote (must be available PST hours ... Debug, refactor, and tune PeopleSoft code for optimal performance. * Prepare technical design ...

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All JobsSolar Performance Engineer JobsRemote Solar Performance Engineer JobsRemote Solar Performance Engineer Jobs in Hemet, CA

Remote Solar Performance Engineer information

See Hemet, CA salary details

$11

$60

$98

How much do remote solar performance engineer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for remote solar performance engineer in Hemet, CA is $60.31, according to ZipRecruiter salary data. Most workers in this role earn between $49.47 and $68.27 per hour, depending on experience, location, and employer.

What is a remote solar performance engineer?

A Remote Solar Performance Engineer is a professional who monitors, analyzes, and optimizes the performance of solar power systems from a remote location. They use specialized software and tools to track energy production, identify issues, and recommend improvements for solar installations. Their work helps ensure that solar energy systems operate efficiently and meet performance goals, often collaborating with on-site technicians and project managers. This role is crucial for maintaining the reliability and profitability of solar power assets, especially in geographically dispersed installations.

What are the key skills and qualifications needed to thrive as a remote solar performance engineer?

To thrive as a Remote Solar Performance Engineer, you need a solid grounding in electrical or mechanical engineering, solar PV systems, and data analysis, typically backed by a relevant engineering degree. Proficiency with solar monitoring software, SCADA systems, and data analytics platforms, as well as certifications like NABCEP, is often required. Strong problem-solving skills, attention to detail, and effective remote communication set top performers apart in this role. These competencies ensure accurate performance analysis, timely issue resolution, and optimized energy output for solar installations.

How does a remote solar performance engineer typically collaborate with on-site teams to resolve system issues?

Remote Solar Performance Engineers play a critical role in diagnosing and troubleshooting performance issues by analyzing data from monitoring systems. They often collaborate closely with on-site technicians and field engineers via virtual meetings, detailed reports, and real-time communication tools. When a performance anomaly is detected, the remote engineer pinpoints the issue and provides actionable recommendations, ensuring on-site teams can address problems efficiently. This collaborative structure helps maximize system uptime and maintain optimal energy output.

What is the difference between Remote Solar Performance Engineer vs Remote Solar Design Engineer?

AspectRemote Solar Performance EngineerRemote Solar Design Engineer
Primary FocusOptimizing solar system performance, analyzing data, troubleshooting issuesCreating system layouts, designing solar panel configurations, selecting components
Required SkillsData analysis, performance monitoring, electrical knowledgeDesign software proficiency, electrical and mechanical design skills
Work EnvironmentField data analysis, remote monitoring, collaboration with installation teamsOffice-based design work, remote collaboration with engineers and clients
CertificationsPV installation certifications, electrical certifications often preferredDesign certifications like NABCEP Designer, CAD proficiency

The Remote Solar Performance Engineer focuses on analyzing and improving the efficiency of existing solar systems through data analysis and troubleshooting. In contrast, the Remote Solar Design Engineer specializes in designing new solar systems, creating layouts, and selecting components. Both roles require technical knowledge and certifications, but their core responsibilities differ in system optimization versus system design.

What cities near Hemet, CA are hiring for Remote Solar Performance Engineer jobs?

Cities near Hemet, CA with the most Remote Solar Performance Engineer job openings:

Remote Solar Performance Engineer jobs near you
Infographic showing various Remote Solar Performance Engineer job openings in Hemet, CA as of August 2026, with employment types broken down into 67% Full Time, 9% Part Time, and 24% Contract. Highlights an 6% In-person, and 94% Remote job distribution, with an average salary of $125,448 per year, or $60.3 per hour.

Data Engineer GCP AWS & Databricks

Redlands, CA • Remote

iShare Inc
See more jobs at iShare Incexternal

$45 - $50/hr

Full-time

Posted 3 days ago

New

Job description

Data Engineer – GCP, AWS & DatabricksLocation: Remote – United States
Employment Type: Contract
Experience Required: 6+ Years
Position Overview
We are seeking an experienced Data Engineer to design, develop, and maintain scalable cloud-based data pipelines and data platforms. The ideal candidate will have strong hands-on experience with GCP, AWS, Databricks, Apache Spark, PySpark, Python, and SQL.
This role requires expertise in building reliable ETL/ELT pipelines, integrating data from multiple sources, and optimizing cloud data solutions for performance, security, scalability, and cost.
Key Responsibilities
  • Design, develop, and maintain scalable ETL/ELT data pipelines.
  • Build cloud-based data solutions using GCP and AWS services.
  • Use Databricks, Apache Spark, and PySpark for large-scale data processing.
  • Integrate structured, semi-structured, and unstructured data from multiple sources.
  • Develop and optimize batch and real-time data-processing workflows.
  • Improve pipeline performance, reliability, scalability, and cost efficiency.
  • Implement data-quality checks, monitoring, security, and governance standards.
  • Design and support cloud data warehouses and data lakes.
  • Troubleshoot production issues and perform root-cause analysis.
  • Collaborate with data architects, analysts, application teams, and business stakeholders.
  • Create and maintain technical documentation for pipelines, data models, and workflows.
Required Qualifications
  • 5+ years of professional data engineering experience.
  • Strong hands-on experience with both GCP and AWS.
  • Expertise in Databricks, Apache Spark, and PySpark.
  • Strong programming skills in Python and SQL.
  • Proven experience developing ETL/ELT pipelines and cloud data platforms.
  • Experience with data warehouses, data lakes, and dimensional data modeling.
  • Experience with orchestration tools such as Apache Airflow or Google Cloud Composer.
  • Understanding of data security, governance, monitoring, and quality frameworks.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and cross-functional collaboration skills.
Preferred Qualifications
  • Experience with GCP services such as BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Cloud Composer.
  • Experience with AWS services such as S3, Glue, EMR, Redshift, Lambda, and Kinesis.
  • Familiarity with Delta Lake and Databricks Lakehouse architecture.
  • Experience with streaming technologies such as Apache Kafka.
  • Familiarity with CI/CD, Git, Terraform, and cloud infrastructure automation.
  • Experience working in Agile development environments.
Must-Have Skills
GCP | AWS | Databricks | Apache Spark | PySpark | Python | SQL | ETL/ELT | Airflow/Cloud Composer | Data Warehousing | Data Lakes

This is a remote position.