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Remote Data Engineer Jobs in Nevada (NOW HIRING)

Data Engineer

Reno, NV · On-site +1

$114K - $137K/yr

The Data Engineer will serve as the central architect and steward of data systems supporting the RDE teams. This role is responsible for designing, building, and maintaining scalable data ...

Data Engineer

Reno, NV · On-site +1

$114K - $137K/yr

The Data Engineer will serve as the central architect and steward of data systems supporting the RDE teams. This role is responsible for designing, building, and maintaining scalable data ...

AI and Data Science Engineer III

Las Vegas, NV · On-site +1

$109K - $131K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We ...

Senior Platform Architecture Engineer

Reno, NV · On-site +1

$55 - $71/hr

This position is open to remote candidates who reside in one of the following states only: Nevada ... Position Purpose The Enterprise Data Analytics (EDA) division at Renown Health oversees the ...

Senior AI/ML Engineer

Carson City, NV · On-site +1

$102K - $140K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling ...

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Remote Data Engineer information

See Nevada salary details

$45.3K

$132.1K

$180.8K

How much do remote data engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for remote data engineer in Nevada is $132,091.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,600.00 and $140,000.00 per year, depending on experience, location, and employer.

What Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What are the key skills and qualifications needed to thrive as a Remote Data Engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.
What are the most commonly searched types of Data Engineer jobs in Nevada? The most popular types of Data Engineer jobs in Nevada are:
What are popular job titles related to Remote Data Engineer jobs in Nevada? For Remote Data Engineer jobs in Nevada, the most frequently searched job titles are:
What cities in Nevada are hiring for Remote Data Engineer jobs? Cities in Nevada with the most Remote Data Engineer job openings:
Infographic showing various Remote Data Engineer job openings in Nevada as of June 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $132,091 per year, or $63.5 per hour.
Data Engineer

$114K - $137K/yr

Other

Posted 26 days ago


Job description

Introduction

Headquartered in Reno, NV, Ormat designs, develops, builds, owns and operates geothermal and recovered energy-based power plants in the US and worldwide. With a spotless international reputation, we’re on track to become a leading global provider of renewable energy. 

We take pride in our family-oriented business building practical green energy solutions from the ground up. 

Join a team that’s giving new life to the future of our planet. 

OverviewThe Data Engineer is part of the Resource Projects team within the Resource, Drilling, and Enhanced Geothermal Systems (EGS) department. The Data Engineer will serve as the central architect and steward of data systems supporting the RDE teams. This role is responsible for designing, building, and maintaining scalable data infrastructure that enables high-quality data collection, storage, integration, and analysis across all geothermal development and management lifecycles. The individual will develop and manage modern data platforms including SQL databases, Power Apps, and web-based tools while ensuring seamless integration with enterprise systems such as Power BI, SAP, and GIS platforms. Working at the intersection of engineering, geoscience, and information technology, this role transforms complex subsurface and operational data into actionable insights that directly support project execution and strategic decision-making.
This position requires a unique combination of advanced technical expertise and data leadership. The Data Engineer will not only build sophisticated data systems and analytics tools, but also establish and enforce data governance, workflows, and quality control standards across multiple disciplines. Partnering closely with subject matter experts, corporate IT, and project managers, this role ensures that data is structured and accessible to support machine learning and AI applications. These capabilities will ultimately enhance Ormat’s ability to bring new megawatts online, optimize reservoir performance, improve drilling efficiency, reduce development costs, and accelerate the discovery of new geothermal resources.

Responsibilities

  • Work within the Project Management Office (PMO) to support governance, data systems, and standards, enabling consistent and scalable workflows across the RDE department.
  • Design, develop, and maintain scalable data architectures (SQL databases, cloud-based systems, and data pipelines) for Resource, Drilling, and EGS teams.
  • Build and deploy user-facing tools such as Power Apps, web applications, and dashboards to enable efficient data access, document management, visualization, and analysis.
  • Serve as the primary owner and administrator of subsurface data systems, including RIMBASE (or future drilling databases), enterprise platforms, SharePoint, and SQL environments.
  • Establish and manage data governance and quality frameworks, including workflows for data entry, validation, auditing, storage, and maintenance.
  • Integrate subsurface data systems with corporate platforms (Power BI, SAP, GIS) in coordination with Corporate IT.
  • Develop automated data pipelines and reporting systems to support real-time and near-real-time decision-making.
  • Enable reservoir management, geothermal field development, and drilling optimization by delivering high-quality data platforms, pipelines, and analytics workflows, including benchmarking and predictive modeling.
  • Enable advanced analytics, machine learning, and AI applications by structuring and preparing high-quality datasets.
  • Partner with geoscientists, drilling engineers, and reservoir engineers to define data requirements and optimize data models.
  • Support exploration efforts by organizing and integrating geological, geophysical, and drilling datasets for prospect evaluation.
  • Act as both a hands-on technical contributor (coding, database development, system design) and a strategic data manager for the subsurface organization.
  • Lead continuous improvement of data systems, tools, and workflows to align with evolving project and business needs.
  • Provide training and support to end users on data systems, tools, and best practices.
  • Ensure data security, integrity, and compliance with company standards and IT policies.
  • Serve as the primary liaison with Corporate IT for larger projects and enterprise initiatives, ensuring alignment and effective implementation of corporate-led business systems within the RDE department.
  • Manage third-party contractors and consultants supporting data system initiatives, extending team capabilities and ensuring successful delivery of specialized projects.

Other Responsibilities
  • Support annual budgeting and forecasting activities for RDE software and data projects.
  • Represent the Resource Projects team in cross-functional initiatives, audits, and internal reviews.
  • Other duties and projects as assigned by management.

Requirements

  • Bachelor’s degree in Data Engineering, Computer Science, Engineering, or related field (Master’s preferred) with 5–10+ years of relevant experience.
  • Advanced expertise in SQL, database design, and building scalable data systems and pipelines.
  • Strong programming skills (Python, R, or similar) and experience developing data tools, applications (Power Apps/web apps), and automation workflows.
  • Experience with data visualization and enterprise system integration (Power BI, SAP, GIS, cloud platforms such as Azure/AWS).
  • Demonstrated ability to manage data governance and quality while partnering with technical teams (geoscience, drilling, reservoir) to enable analytics, machine learning, and operational insights.
  • Experience designing and implementing end-to-end data architectures and scalable data platforms.
  • Proven ability to integrate disparate data systems and enterprise platforms across business and IT environments.
  • Professional-level capabilities with project management tools (e.g., Power BI, Jira, Primavera, and Microsoft Project or equivalents).
  • Self-motivated with the ability to drive outcomes and create results with minimal or no supervision.
  • Ability to work in a diverse range of cultures.
  • Excellent verbal and written communication skills with the ability to interact professionally with a diverse group of leaders, stakeholders, and technical subject matter experts.
  • Must be able to communicate effectively in English, verbally and in writing.
  • Must possess a valid driver’s license with a driving record acceptable to Ormat auto insurance carrier.

Physical Requirements
  • Must be able to work in an office and operation/construction environments.
  • The ability to work at a computer and computer monitor for long periods of time.
  • Must be able to wear a variety of protective equipment as required by safety procedures and regulations.
  • Must have the ability to lift up to 30 pounds without assistance.

Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time.
Nearest Major Market: Reno
Nearest Secondary Market: Tahoe