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Remote Detection Engineer Jobs in Nevada (NOW HIRING)

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Remote Detection Engineer information

What are Remote Detection Engineers?

Remote Detection Engineers are professionals who use technology and specialized tools to identify, monitor, and analyze data or threats from a distance, often in the realm of cybersecurity or environmental monitoring. They typically work with remote sensing equipment, network security systems, or other detection technologies to spot issues without needing to be physically present. Their role is critical for organizations that require constant vigilance over digital assets or remote environments. In cybersecurity, for example, they help detect and respond to threats to protect sensitive information. Remote Detection Engineers often collaborate with IT, security, or scientific teams depending on their industry.

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

To thrive as a Remote Detection Engineer, you need a strong background in cybersecurity, threat detection, and incident response, often supported by a degree in computer science or a related field. Familiarity with SIEM platforms (like Splunk or ELK Stack), EDR tools, and certifications such as CISSP or GIAC are commonly required. Analytical thinking, problem-solving, and clear communication are critical soft skills for interpreting threats and collaborating with distributed teams. These skills ensure timely identification and mitigation of security threats, protecting organizational assets in a remote work environment.

How does a Remote Detection Engineer typically collaborate with other cybersecurity teams to improve threat detection?

As a Remote Detection Engineer, you will regularly collaborate with Security Operations Center (SOC) analysts, incident responders, and threat intelligence teams. Your main role involves developing and fine-tuning detection logic, which often requires direct feedback from analysts handling alerts and incidents. You may participate in virtual meetings, conduct knowledge-sharing sessions, and provide technical guidance to ensure detections are actionable and relevant. This cross-team collaboration is essential for refining detection strategies, addressing false positives, and staying ahead of emerging threats.
What are the most commonly searched types of Detection Engineer jobs in Nevada? The most popular types of Detection Engineer jobs in Nevada are:
What are popular job titles related to Remote Detection Engineer jobs in Nevada? For Remote Detection Engineer jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Remote Detection Engineer jobs in Nevada look for? The top searched job categories for Remote Detection Engineer jobs in Nevada are:
What cities in Nevada are hiring for Remote Detection Engineer jobs? Cities in Nevada with the most Remote Detection Engineer job openings:
Remote Detection Engineer jobs near you
Infographic showing various Remote Detection Engineer job openings in Nevada as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Scientific Programmer/Data Scientist I

RESOURCE ASSOCIATES II

Las Vegas, NV • On-site, Remote

$115K - $120K/yr

Full-time

Posted 3 days ago

New

Job description

  • Excellent Communication Skills
  • Develop and maintain Python-based geospatial and scientific-processing workflows.
  • Process LiDAR, elevation, and multispectral imagery.
  • Support computer-vision and machine-learning feature detection.
  • Automate risk scoring, QA/QC checks, metadata generation, and monthly data deliveries.
  • Build and maintain geospatial datasets in an AWS environment.
  • Document code, methods, data lineage, and processing results.

Qualifications

  • Bachelor’s degree in computer science, data science, GIS, engineering, or a related field.
  • Experience with Python and geospatial or remote-sensing data.
  • Familiarity with GIS tools, spatial databases, cloud computing, and scientific data pipelines.
  • Strong analytical, troubleshooting, documentation, and quality-control skills.

Must reside in the United States and be able to support PST time zone.

RAI is unable to provide employment-visa sponsorship for this position. Applicants must be authorized to work in the United States without current or future sponsorship.