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Temporary Python Matlab Jobs (NOW HIRING)

Experience with test tools and automation, such as scripting (Python, MATLAB, or similar) and test ... Pay within range listed above + temporary benefits package (applicable after 60 days of employment ...

Experience with test tools and automation, such as scripting (Python, MATLAB, or similar) and test ... Pay within range listed above + temporary benefits package (applicable after 60 days of employment ...

Post Doctoral Research Fellow

Boise, ID ยท On-site

$46K - $63K/yr

Serves in a temporary position that enables an individual with their Ph.D. to continue their ... Proficiency in programming and data analysis languages (LabVIEW, Python, MatLab, OriginPro, JMP, or ...

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Temporary Python Matlab information

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$23K

$140K

$202.5K

How much do temporary python matlab jobs pay per year?

As of Jun 22, 2026, the average yearly pay for temporary python matlab in the United States is $139,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $164,500.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Python Matlab vs Data Analyst?

AspectTemporary Python MatlabData Analyst
Required SkillsPython, MATLAB, scripting, data processingExcel, SQL, data visualization, statistical analysis
Work EnvironmentResearch labs, engineering firms, tech companiesBusiness, finance, marketing departments
CertificationsPython, MATLAB certifications often preferredNone mandatory, but certifications like CAP or Microsoft certifications helpful

Temporary Python Matlab roles focus on programming, data processing, and technical tasks in research or engineering settings. Data Analysts primarily interpret data to inform business decisions, often using Excel and SQL. While both roles involve data handling, Temporary Python Matlab positions are more technical and project-based, whereas Data Analysts work across industries analyzing data for strategic insights.

More about Temporary Python Matlab jobs
What cities are hiring for Temporary Python Matlab jobs? Cities with the most Temporary Python Matlab job openings:
What are the most commonly searched types of Python Matlab jobs? The most popular types of Python Matlab jobs are:
What states have the most Temporary Python Matlab jobs? States with the most job openings for Temporary Python Matlab jobs include:
Infographic showing various Temporary Python Matlab job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 83% Full Time, 1% Part Time, 10% Temporary, and 4% Contract. Highlights an 85% Physical, 7% Hybrid, and 8% Remote job distribution, with an average salary of $139,971 per year, or $67.3 per hour.
Senior Engineer, GNC - Sensor Integration (R4601)

Senior Engineer, GNC - Sensor Integration (R4601)

Shield AI

Charleston, WV โ€ข On-site

$96K - $132K/yr

Full-time

Posted 20 days ago


Job description

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AIโ€™s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.ย 

Job Description:
We are seeking a Sensor Integration Engineer to support selection, characterization, calibration, and integration of multi-modal navigation and localization sensors for aerospace applications. This role operates at the intersection of electrical, mechanical, and software engineering, requiring the ability to work across disciplines and directly contribute to cross-functional engineering efforts.ย 
What you'll do:
Sensor Selection, Integration & Characterization:
  • Support sensor integration activities from specification through productionย 
  • Develop and execute sensor characterization and calibration procedures for IMUs, GNSS receivers, cameras, and other navigation sensorsย 
  • Contribute to sensor trade studies and selection processesย 
Cross-Functional Collaboration:
  • Work closely with electrical engineering, mechanical engineering, and software engineering teams on:ย 
  • Electrical interfaces, power distribution, and signal conditioningย 
  • Mounting solutions, alignment, and thermal/vibration considerationsย 
  • Software interfaces, drivers, data acquisition, and calibration implementationย 
  • Participate in design reviews across EE/ME/SW disciplines, providing interdisciplinary perspective and coordinationย 
  • Willingness to support occasional travel to support teammates with integration and testing
Technical Contributions:
  • Develop and execute test plans for sensor performance characterization and validationย 
  • Document sensor characteristics, trade studies, and integration requirementsย 
  • Develop or modify calibration scripts and data processing toolsย 
  • Support development of calibration procedures and toolingย 
  • Debug issues spanning hardware-firmware-software boundariesย 
  • Review and contribute to schematics, CAD models, and code as necessaryย 
Required qualifications:
Education & Experience:
  • BS in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Physics, or related fieldย 
  • 1-4 years of relevant experience (new grads with strong cross-functional internship/project experience will be considered)ย 
  • Demonstrated ability to work across at least two of: electrical, mechanical, software domainsย 
  • Ability to obtain a S//SAR level security clearance desired.
Technical Skills:
  • Understanding of sensor measurement principles and error sourcesย 
  • Ability to read and understand electrical schematics and/or mechanical drawingsย 
  • Basic proficiency in scripting or programming for data analysis (Python, MATLAB, or similar)ย 
  • Familiarity with sensor communication protocols (SPI, I2C, UART, CAN, etc.)ย 
  • Hands-on experience with lab equipment and sensor testingย 
Cross-Functional Aptitude:
  • Comfortable learning and working outside primary disciplineย 
  • Ability to communicate effectively with engineers from different backgroundsย 
  • Willingness to engage with hardware, firmware, and software aspects of sensor systemsย 
  • Strong analytical and problem-solving skills across multiple domainsย 
Preferred qualifications:
  • Experience with navigation or localization sensors (IMUs, GNSS, cameras, altimeters, etc.)ย 
  • Exposure to sensor calibration or characterization activitiesย 
  • Basic proficiency with engineering tools such as Altium, NX, and Teamcenter
  • Familiarity with embedded systems or real-time softwareย 
  • Understanding of coordinate transformations or sensor fusion conceptsย 
  • Experience with automated testing or data acquisition systemsย 
  • Knowledge of aerospace environmental testing or standards
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Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
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Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
ย 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed toย equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.ย 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.