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Ir Data Analyst Jobs (NOW HIRING)

Muon's IR Data Products team builds the analytics system that turns raw imagery from our spacecraft's custom multispectral instruments into calibrated, orthorectified, analysis-ready products - and ...

Job Summary This position will analyze and report on student recruitment activity and enrollment and marketing data. They will build, update, and deliver reports and dashboards to convey information ...

Muon's IR Data Products team builds the analytics system that turns raw imagery from our spacecraft's custom multispectral instruments into calibrated, orthorectified, analysis-ready products - and ...

Muon's IR Data Products team builds the analytics system that turns raw imagery from our spacecraft's custom multispectral instruments into calibrated, orthorectified, analysis-ready products - and ...

Muon's IR Data Products team builds the analytics system that turns raw imagery from our spacecraft's custom multispectral instruments into calibrated, orthorectified, analysis-ready products -- and ...

Senior Signature/Data Analyst

Huntsville, AL · On-site

$82K - $103K/yr

General Overview APEX TK is looking for an amazing Senior Signature/Data Analyst to join our team ... Experience in a minimum of 2 of the following areas: trajectory/kinematic simulation, EO/IR sensor ...

General Overview APEX TK is looking for an amazing Senior Signature/Data Analyst to join our team ... Experience in a minimum of 2 of the following areas: trajectory/kinematic simulation, EO/IR sensor ...

Senior Signature/Data Analyst

Huntsville, AL · On-site

$82K - $103K/yr

General Overview APEX TK is looking for an amazing Senior Signature/Data Analyst to join our team ... Experience in a minimum of 2 of the following areas: trajectory/kinematic simulation, EO/IR sensor ...

General Overview APEX TK is looking for an amazing Senior Signature/Data Analyst to join our team ... Experience in a minimum of 2 of the following areas: trajectory/kinematic simulation, EO/IR sensor ...

General Overview APEX TK is looking for an amazing Senior Signature/Data Analyst to join our team ... Experience in a minimum of 2 of the following areas: trajectory/kinematic simulation, EO/IR sensor ...

Position Specific Description The Principal Data Analyst is responsible for ensuring data quality ... IR Swaps, Oil/Fuels, Environmentals, Natural Gas, and Power. Success in this position demands ...

Sobre el rol Buscamos un/a Market & Data Analyst para sumarse a un equipo de Inteligencia ... quiera ir más allá del análisis y convertirse en un partner estratégico del negocio ...

Position Specific Description The Principal Data Analyst is responsible for ensuring data quality ... IR Swaps, Oil/Fuels, Environmentals, Natural Gas, and Power. Success in this position demands ...

Remote Sensing Scientist

Dayton, OH · Remote

$91K - $140K/yr

... analysis and remote sensing technologies to answer specific science, technology, and innovation ... Experience with common remote sensing EO-IR data formats Desired Qualifications: * Master's degree ...

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Ir Data Analyst information

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How much do ir data analyst jobs pay per year?

As of Sep 10, 2026, the average yearly pay for ir 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.

What are popular job titles related to Ir Data Analyst jobs?

For Ir Data Analyst jobs, the most frequently searched job titles are:

Infographic showing various Ir Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Software Engineer, IR Data Products

San Jose, CA • On-site

Muon Space
Space Research Administration • 11 - 50 employees

$156K - $186K/yr

Full-time

Re-posted 4 days ago


Key responsibilities

  • Build, test, and maintain production data processing pipelines for infrared imagery.

  • Improve pipeline performance to meet latency targets and ensure continuous processing across multiple satellites.

  • Diagnose and fix data quality and processing failures, including tracing problems through the pipeline.


Job description

About the role

Muon Space is building a family of infrared imaging missions designed for global wildfire detection and monitoring, weather and cloud characterization, space-based environmental monitoring, and more. Muon's IR Data Products team builds the analytics system that turns raw imagery from our spacecraft's custom multispectral instruments into calibrated, orthorectified, analysis-ready products - and delivers them fast enough to be useful while a fire is still burning.

In this role you will build and operate the production pipeline that does this. Our system ingests raw frames from orbit, calibrates and geolocates them, orthorectifies them into map-projected tiles, and derives fire detections and perimeters - all under a hard latency budget, and increasingly on a continuous basis across a growing constellation.

This is hands-on production software engineering on a system with real users and real deadlines. Wildfire response agencies act on what we ship. You will work alongside remote sensing scientists who define what the products must be, and own turning that into code that runs reliably, at scale, and on time.

This position is hybrid and requires working on-site in our San Jose, CA office three days per week.

Responsibilities
  • Build, test, and maintain production data processing pipelines for infrared imagery, from raw frames through calibrated and orthorectified products.
  • Improve pipeline performance against latency targets - profiling, parallelization, and eliminating fixed overhead in the critical path.
  • Implement and operate workflow orchestration for continuous, automated processing across multiple satellites.
  • Build monitoring, alerting, and operational tooling; participate in an on-call rotation for the systems you help build.
  • Work with remote sensing scientists to turn algorithms and prototypes into production-ready, tested, maintainable code.
  • Contribute to code review, testing practices, and technical documentation in a shared codebase.
  • Diagnose and fix data quality and processing failures, including tracing problems back through the pipeline to their source.
  • Learn new topics as needed (remote sensing measurement techniques, geospatial data engineering, customer domain-specific implications).
Qualifications
  • BS, Masters, or PhD in Computer Science, Engineering, a physical science, or equivalent practical experience.
  • BS +5 years or MS +3 years of relevant professional experience beyond internships.
  • Solid Python skills, and experience writing code that other people depend on - tested, reviewed, and maintained over time.
  • Familiarity with cloud infrastructure (AWS preferred) and containerized deployment.
  • Comfort working with data at a scale where naive approaches stop working.
  • Ability to work with a distributed, interdisciplinary team (scientists, engineers, data support).
  • Willingness to learn the science domain well enough to reason about whether output is correct, not just whether the job succeeded.
Preferred Qualifications
  • Experience with geospatial data tooling and formats (e.g. XArray, COG, GeoTIFF, NetCDF, GDAL, Zarr).
  • Experience with workflow orchestration systems (Flyte, Airflow, or similar).
  • Experience with performance profiling and optimization of data-intensive systems.
  • Experience with satellite, remote sensing, or other scientific imagery pipelines.
  • Infrastructure-as-code experience (Terraform or similar).
  • Experience operating production systems on call.
Salary

The salary range for this role is $156,000 - $186,000, plus a competitive equity grant and comprehensive benefits package. Final compensation will be determined based on skills, qualifications, experience, and geographic location as assessed during the interview process.