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Remote Engineering Jobs in Stillwater, OK (NOW HIRING)

Remote Engineering information

See Stillwater, OK salary details

$30.5K

$59.1K

$89.7K

How much do remote engineering jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote engineering in Stillwater, OK is $59,146.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,100.00 and $67,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote engineer?

To thrive as a Remote Engineer, you need strong technical expertise in your engineering discipline, a relevant degree, and experience with distributed systems or remote collaboration. Familiarity with tools such as Git, cloud platforms (e.g., AWS, Azure), and team communication software like Slack or Zoom is typically required. Excellent self-motivation, time management, and clear written communication distinguish top performers in remote settings. These skills and qualities are crucial for delivering high-quality engineering solutions and maintaining productivity while collaborating with geographically dispersed teams.

What is remote engineering?

Remote engineering refers to engineering work that is performed outside of a traditional office or job site, typically from home or another remote location. Remote engineers use digital tools and communication platforms to collaborate with teams, design systems, write code, or manage projects from anywhere in the world. This work arrangement allows for greater flexibility and can help companies access a wider pool of talent. However, it also requires strong communication skills and self-discipline to maintain productivity and teamwork.

How do remote engineering teams typically coordinate and communicate to ensure project success?

Remote engineering teams commonly use a combination of collaboration tools like Slack, Jira, and GitHub to stay connected and manage projects efficiently. Regular virtual stand-ups, sprint planning meetings, and code reviews help maintain alignment and transparency among team members. Clear documentation and proactive communication are essential to overcome time zone differences and prevent misunderstandings. Most teams also establish shared coding standards and utilize version control to streamline contributions from multiple engineers working remotely.

What is the difference between Remote Engineering vs Remote Software Developer?

AspectRemote EngineeringRemote Software Developer
Required CredentialsBachelor's in Engineering, relevant certificationsBachelor's in Computer Science or related field, coding certifications
Work EnvironmentDesign, testing, and overseeing engineering projects remotelyWriting, testing, and deploying software remotely
Employer & Industry UsageEngineering firms, manufacturing, infrastructureTech companies, startups, software firms
Search & Comparison IntentUnderstanding engineering roles vs software roles remotely

Remote Engineering involves designing and managing engineering projects remotely, often requiring technical certifications and a background in engineering disciplines. Remote Software Developers focus on coding and software deployment from a remote location, typically with programming certifications. While both roles can be performed remotely, Remote Engineering emphasizes project oversight and technical engineering tasks, whereas Remote Software Development centers on software creation and maintenance.

What are the most commonly searched types of Engineering jobs in Stillwater, OK? The most popular types of Engineering jobs in Stillwater, OK are:
What cities near Stillwater, OK are hiring for Remote Engineering jobs? Cities near Stillwater, OK with the most Remote Engineering job openings:
Infographic showing various Remote Engineering job openings in Stillwater, OK as of August 2026, with employment types broken down into 80% Full Time, 15% Part Time, 3% Contract, and 2% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $59,146 per year, or $28.4 per hour.

Postdoctoral Researcher AF7795

Oklahoma State University

Stillwater, OK • On-site, Remote

$108K/yr

Full-time

Re-posted 29 days ago


Oklahoma State University rating

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Job description

Postdoctoral Researcher AF7795

Apply now Job no: 494324
Work type: Adjunct/Temp Faculty
Location: Stillwater
Categories: Research

Campus

OSU-Stillwater

Contact Name & Email

Dr. Yuting Zhou, yuting.zhou@okstate.edu

Work Schedule

TBD

Appointment Length

12 months or less

Hiring Range

Commensurate with education and experience

Priority Application Date

While applications will be accepted until a successful candidate has been hired, interested parties are encouraged to submit their materials by May 20, 2026, to ensure full consideration.

Special Instructions to Applicants

Interested applicants should submit:
1) Cover Letter: a one-page summary of research expertise specifically related to the project
2) a detailed Curriculum Vitae (CV) including educational background, research experience, publications, and contact information for three or more professional references
Questions about this position can be directed to Dr. Yuting Zhou (yuting.zhou@okstate.edu) and Dr. Pradeep Wagle (pradeep.wagle@usda.gov).

About this Position

For a collaborative project between Oklahoma and Central Plains Agricultural Research Center (OCPARC) at the USDA-ARS, El Reno, OK (https://www.ars.usda.gov/plains-area/el-reno-ok/ocparc/) and the Department of Geography at Oklahoma State University (https://cas.okstate.edu/geography/), we are seeking a motivated Post-doctoral Researcher. This role focuses on quantifying the complex interactions between management practices, cropping systems, and weather variability on carbon and water cycles across diverse agroecosystems, including native prairie and tame pastures, winter wheat, alfalfa, and different summer cash or cover crops.

Responsibilities:

The successful candidate will hold a 100% research appointment and will be located at the USDA-ARS, El Reno, OK. The candidate will also work with collaborative teams at the University of Oklahoma. By synthesizing eddy flux data from an unparalleled network of 17 eddy covariance (EC) towers at the USDA-ARS, El Reno, OK with multi-source satellite remote sensing (e.g., Landsat, Sentinel, and CubeSats), high-resolution UAV imagery, and site-specific meteorological records, the researcher will evaluate resource use efficiency in various agroecosystems, specifically light, carbon, and water use efficiency, under varying land-use intensities (e.g., burning, grazing, and till vs. no-till, irrigated vs. rainfed). The researcher will contribute to the development of predictive agroecosystem models designed to optimize agricultural productivity while enhancing environmental resilience. The successful candidate will be jointly supervised by Dr. Yuting Zhou (Oklahoma State University) and Dr. Pradeep Wagle (USDA-ARS).

Salary and benefits:

Salary will be commensurate with education, experience, and qualifications, and is contingent on available funding. Benefits include comprehensive medical plans. Information on benefits can be found at https://hr.okstate.edu/benefits/index.html.

Employment conditions:

This is a full-time (100%), 12-month temporary research, non-tenure track position. An extension for a second year is possible, contingent upon the successful performance of the candidate and available funding. Ideal start date is June 1, 2026.

About OSU:

Oklahoma State University is a Carnegie Tier-1 university with excellent research facilities. Oklahoma State University is located in Stillwater, OK, rated as the friendliest college town in the U.S. Because of its mid-continent location that spans a broad expanse of habitats, Oklahoma has both prairie and forest ecosystems that support an exceptional level of biodiversity.

Required Qualifications
  • Ph.D. degree (at the time of appointment) in biometeorology, geography, ecology, agronomy, remote sensing, or a closely related field.
    (degree must be conferred on or before agreed upon start date)
  • Familiarity with field measurements, field sampling, and high-performance computing environments.

  • Skills, Proficiencies, and/or Knowledge:
    • Strong programming and statistical skills (e.g., R, Python, MATLAB) for handling large, complex eddy fluxes, meteorological records, and remote sensing data.
    • Proven ability to work both independently and in a collaborative, multi-disciplinary setting.
    • Excellent written and oral communication skills, evidenced by first-author peer-reviewed publications in reputed journals.  

Advertised: 08 May 2026 Central Daylight Time
Applications close:

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