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Modis Engineering Jobs in California (NOW HIRING)

Modis Engineering information

See California salary details

$32.1K

$62.2K

$94.2K

How much do modis engineering jobs pay per year?

As of Jun 8, 2026, the average yearly pay for modis engineering in California is $62,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,400.00 and $71,100.00 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.

What job categories do people searching Modis Engineering jobs in California look for? The top searched job categories for Modis Engineering jobs in California are:

Satellite Applications Specialist - Precipitation

Rainmaker Technology Corporation

El Segundo, CA โ€ข On-site

$90K - $150K/yr

Full-time

Posted 19 days ago


Job description

Rainmaker is pioneering a modern cloud seeding system to solve water scarcity and inclement weather problems. We develop and incorporate radar validation, weather-resistant UAS, numerical weather modeling, and sustainable cloud seeds into an effective precipitation enhancement solution.
The Satellite Applications Specialist is responsible for the acquisition, processing, and analysis of satellite cloud and precipitation data for cloud seeding validation. This role requires a deep understanding of satellite remote sensing principles, meteorological processes, and data analysis techniques. The specialist will work closely with meteorologists, data scientists, and software engineers to develop and implement advanced data processing algorithms and workflows.
What You'll Do
  • Data Acquisition: Identify and access publicly available meteorological satellite data from various platforms (e.g., GOES, Meteosat, MODIS, Sentinel, etc.). Develop and maintain data acquisition workflows to retrieve large multi-spectral datasets. Implement data storage and management strategies.
  • Data Ingestion and Processing: Ingest satellite data into data processing systems. Perform data quality checks. Define and implement correction methodologies. Apply atmospheric correction algorithms to account for the effects of the atmosphere on satellite measurements. Develop and implement advanced algorithms for quantitative precipitation estimation (QPE) and phase classification based on machine learning methods.
  • Data Analysis: Analyze satellite data to extract meteorological information, such as cloud cover, precipitation intensity, cloud phase, and atmospheric temperature and humidity profiles. Work to analyze real-time and archival case studies. Develop and apply data visualization techniques to represent meteorological phenomena. Contribute to scientific research projects and publish findings in peer-reviewed journals.
  • Algorithm Development: Develop and test new algorithms for satellite data processing and analysis. Collaborate with data scientists and meteorologists to improve existing algorithms. Stay up-to-date on the latest advancements in satellite remote sensing and data analysis techniques.
  • Precipitation Enhancement Applications: Support precipitation enhancement operations by providing satellite data analysis to identify suitable cloud targets and assess the effectiveness of seeding efforts. Develop algorithms to estimate the potential for precipitation enhancement from precipitation enhancement.

Required Qualifications
  • Master's degree or Ph.D. in meteorology, atmospheric science, remote sensing, or a related field.
  • Strong understanding of satellite remote sensing principles and meteorological processes.
  • Experience with data acquisition, processing, and analysis of large datasets. This involves distributed computing methods, database management systems, data partitioning, vectorizing operations, and GPU acceleration.
  • Experience with Amazon Web Services cloud computing for external data sources, and internal instance management.
  • Proficiency in data analysis tools and programming languages (e.g., Python, MATLAB, R, C++).Knowledge of machine learning and deep learning techniques, for satellite applications.

$90,000 - $150,000 a year
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