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Modis Engineering Jobs (NOW HIRING)

Tamus

Postdoctoral Research Associate

El Paso, TX · On-site +1

... SWOT, MODIS, GPM, Landsat, ECOSTRESS, OpenET, and others) with in situ and field-sensor data ... D. in Hydrology, Water Resources Engineering, Environmental Engineering, Civil Engineering ...

All JobsModis Engineering Jobs

Modis Engineering information

See salary details

$32.5K

$63K

$95.5K

How much do modis engineering jobs pay per year?

As of Jul 14, 2026, the average yearly pay for modis engineering in the United States is $62,977.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $72,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Engineering Consultant at Modis, and why are they important?

To thrive as an Engineering Consultant at Modis, you typically need a degree in engineering, strong analytical abilities, and relevant industry experience. Familiarity with CAD software, project management tools, and certifications such as PMP or Six Sigma are often highly valued. Strong problem-solving skills, adaptability, and effective communication help consultants deliver results and build client relationships. These competencies enable consultants to meet complex client needs, drive project success, and maintain Modis's reputation for technical excellence.

What is Modis Engineering?

Modis Engineering is a global provider of engineering and technology staffing, consulting, and workforce solutions. They connect skilled professionals with companies in industries such as automotive, aerospace, IT, and manufacturing. Modis Engineering helps businesses find temporary, contract, or permanent employees for specialized engineering roles and also offers project-based consulting services. Their expertise covers areas like mechanical, electrical, civil, and software engineering.

How does working at Modis Engineering typically facilitate professional development and career growth for engineers?

At Modis Engineering, engineers often benefit from a project-based environment that exposes them to diverse industries and cutting-edge technologies. This structure enables professionals to continually expand their technical skills while collaborating with multidisciplinary teams. Additionally, Modis Engineering supports ongoing learning through training programs, mentorship opportunities, and access to certifications, helping employees advance into leadership or specialized roles. The company's broad client base also means engineers can explore various sectors, enhancing both their expertise and career prospects.

What is the difference between Modis Engineering vs Mechanical Engineer?

AspectModis EngineeringMechanical Engineer
CredentialsTypically requires a bachelor's degree in engineering or related fieldBachelor's degree in Mechanical Engineering or similar
Work EnvironmentConsulting, staffing, and project-based roles across various industriesDesign, analysis, and manufacturing in industrial or corporate settings
Employer & Industry UsageUsed by staffing agencies and consulting firms for project staffingUsed by manufacturing, automotive, aerospace, and industrial companies

Modis Engineering primarily provides staffing and consulting services for engineering projects across multiple industries, while Mechanical Engineers are employed directly by companies to design and develop mechanical systems. The roles overlap in credentials and work environment, but Modis Engineering acts as a staffing partner rather than a direct employer.

More about Modis Engineering jobs
What states have the most Modis Engineering jobs? States with the most job openings for Modis Engineering jobs include:
What job categories do people searching Modis Engineering jobs look for? The top searched job categories for Modis Engineering jobs are:
Modis Engineering jobs near you
Infographic showing various Modis Engineering job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $62,977 per year, or $30.3 per hour.

Data Scientist - AI/ML

Science Systems & Applications

Lanham, MD • On-site

$87K - $105K/yr

Full-time

Posted 20 days ago

Job description

Science Systems and Applications, Inc. (SSAI) is seeking a highly motivated Data Scientist to support NASA Earth science data systems, geospatial analytics, scientific software development, and AI/ML initiatives. The role includes researching, evaluating, and applying emerging technologies such as artificial intelligence, quantum computing methodologies, and advanced analytics to advance Earth science research, geospatial data processing, and scientific discovery.

Responsibilities

  • Design, develop, and deploy machine learning and artificial intelligence models to support predictive analytics, environmental monitoring, geospatial intelligence, and Earth science research applications.
  • Develop geospatial analytics, visualization tools, and web-based applications for large environmental and remote sensing datasets.
  • Create and support RESTful APIs, web services, and cloud-based data access systems utilizing AWS and Azure cloud platforms for scalable storage, processing, and dissemination of Earth science data.
  • Develop workflows for processing, quality control, analysis, and dissemination of satellite-derived geospatial products.
  • Collaborate with scientists to translate research requirements into operational software solutions.
  • Support Earth science data archives, user services, and community engagement activities.
  • Perform spatial and temporal analysis of environmental datasets using GIS, remote sensing, and statistical methods.
  • Develop and automate data processing pipelines using Python and scientific computing frameworks, leveraging cloud services to support large-scale geospatial and remote sensing workflows.
  • Support, maintain, and integrate legacy scientific applications developed in Fortran with modern Python-based analytics, data processing, and visualization workflows.
  • Integrate diverse datasets from satellite observations, field measurements, and numerical models.
  • Prepare technical documentation, scientific reports, conference presentations, and peer-reviewed publications.
  • Collaborate with scientists, software engineers, and technology partners to identify opportunities for integrating quantum computing concepts into AI/ML workflows, high-performance computing environments, and next-generation Earth science applications.

Required Qualifications

  • Master’s Degree (M.S.) and a minimum of 5 years related experience and/or training, or equivalent combination of education and experience.
  • Experience applying AI/ML techniques to Earth science, climate, environmental, geospatial, remote sensing, or other large scientific datasets.
  • Strong programming skills in Python and experience with scientific computing workflows, including Fortran and high-performance computing environments.
  • Experience developing and deploying AI/ML solutions using cloud platforms such as AWS and Azure.
  • Experience with GIS and geospatial data processing tools.
  • Experience working with large environmental, remote sensing, or geospatial datasets.
  • Knowledge of spatial databases, web services, application development frameworks, and emerging technologies such as quantum computing.
  • Experience developing and supporting data visualization and analytics tools.
  • Strong written and verbal communication skills.
  • Ability to work effectively in multidisciplinary scientific teams.

Desired Qualifications

  • Experience supporting NASA, NOAA, USGS, or other federal Earth science programs.
  • Experience with satellite data products such as MODIS, Landsat, VIIRS, or similar Earth observation datasets.
  • Experience developing geospatial web applications and cloud-enabled data services.
  • Knowledge of GDAL, ArcGIS, GRASS GIS, or similar geospatial software packages.
  • Experience with JavaScript, Node.js, SQL, Linux, and scientific computing environments.
  • Experience with hydrologic, environmental, ecological, or climate modeling.
  • Demonstrated record of peer-reviewed scientific publications.
  • Experience interacting directly with scientific user communities and stakeholders.


EEO/AA Veterans and Individuals with Disabilities

Physical Requirements: While performing the duties of this job, the employee is regularly required to stand, walk, and use hands to touch, handle or feel objects, tools or controls. The employee frequently is required to talk and hear and occasionally required to reach with hands and arms and stoop, kneel, crouch, or crawl. Must regularly lift and/or move up to 10 pounds, and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, peripheral vision, depth perception and the ability to adjust focus