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How much do opir data analyst jobs pay per year?

As of Sep 11, 2026, the average yearly pay for opir data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Opir Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Remote Sensing OPIR Engineer - Mid Level #900

Dayton, OH • On-site

Allen Integrated Solutions
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees
Learn more about Allen Integrated Solutionsexternal

Full-time

Posted 14 days ago

Job description

Remote Sensing OPIR Engineer - Mid Level #900

Clearance Required:  TS/SCI 

Minimum Years' Experience: 6 years of experience in EO/IR systems engineering, OPIR analysis, remote sensing, or a related mission area

Dayton, Ohio - 100% onsite

Overall Assignment Description: 

Allen Integrated Solutions is seeking a highly skilled Remote Sensing OPIR Engineer to support National Air and Space Intelligence Center (NASIC) mission areas involving infrared sensing, space-based missile warning systems, sensor modeling, advanced data exploitation, and algorithm development. The ideal candidate will possess a strong technical background in electro-optical/infrared (EO/IR) systems engineering, infrared phenomenology, Overhead Persistent Infrared (OPIR) data analysis, and software development for sensor exploitation.

This role requires demonstrated experience working with complex sensor systems, developing and testing advanced analytical capabilities, and collaborating with government, industry, and research partners on next-generation sensing technologies.

Responsibilities
  • Conduct analysis, exploitation, and modeling of infrared and OPIR sensor data, including Space-Based Infrared System (SBIRS) data.
  • Develop, prototype, and implement advanced data-processing algorithms using Python, MATLAB, and other analytical environments.
  • Investigate sensor and target phenomenology and develop test plans, sensor-collection scenarios, and experiments to address complex detection and tracking challenges.
  • Evaluate and troubleshoot data-processing workflows, identify anomalies or software-logic issues, and coordinate remediation strategies.
  • Support the development of concepts of operations (CONOPS), white papers, technical documentation, and transition plans for emerging sensor capabilities and processing architectures.
  • Collaborate with research organizations, Department of Defense stakeholders, Intelligence Community organizations, and external agencies to evaluate and integrate emerging sensing and exploitation technologies.
Required Qualifications
  • Active TS/SCI clearance.
  • Bachelor's or master's degree in physics, computer engineering, space systems, or a related technical field.
  • At least six years of experience in EO/IR systems engineering, OPIR analysis, remote sensing, or a related mission area.
  • Demonstrated experience with OPIR data formats, processing workflows, or SBIRS exploitation tools.
  • Strong analytical and problem-solving skills, including the ability to diagnose sensor-performance issues, data anomalies, and software-logic problems.
Desired Qualifications
  • Experience collaborating with NASIC or other Intelligence Community organizations.
  • Experience developing CONOPS, technical documentation, or training materials.