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Flexible Python Developer Remote Jobs in Washington

Babel Street

Software Engineer III

Reston, VA · On-site +1

$59.75 - $80.25/hr

We are looking for a Senior Python Engineer with a "hacker" mindset to join our team as a Software ... Unlimited Flexible Leave: We trust our employees to manage their own time and balance their ...

GRVTY

Data & Software Engineer

Mclean, VA · On-site +1

$115.70K - $139K/yr

The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in ... The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn ...

GRVTY

Full Stack Developer

Chantilly, VA · Remote

The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in ... The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn ...

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Flexible Python Developer Remote information

What are the key skills and qualifications needed to thrive as a Flexible Python Developer Remote, and why are they important?

To thrive as a Flexible Python Developer Remote, you need strong proficiency in Python programming, experience with software development frameworks, and ideally a degree in computer science or related field. Familiarity with version control systems like Git, cloud platforms such as AWS or Azure, and possibly certifications in Python or cloud technologies are often required. Excellent self-motivation, communication, and time management skills distinguish top performers in remote roles. These competencies enable efficient, high-quality code delivery and effective collaboration across distributed teams.

How do Flexible Python Developer roles typically balance independent work with team collaboration in a remote environment?

Flexible Python Developer positions often combine significant independent coding time with regular team collaboration, typically through virtual meetings and agile workflows. While you'll have the autonomy to manage your schedule and tasks, expect to participate in daily stand-ups, code reviews, and pair programming sessions using tools like Slack, Zoom, and GitHub. This structure ensures alignment on project goals and fosters knowledge sharing, while still allowing flexibility in how and when you complete your work. Successfully navigating this balance requires strong communication skills and proactive updates to keep the team informed.

What is a Flexible Python Developer Remote?

A Flexible Python Developer Remote is a software developer who specializes in using the Python programming language and works remotely, often with flexible hours. This role allows professionals to contribute to projects from any location and adapt their work schedule to suit their needs, as long as deadlines and project goals are met. Flexible Python Developers may work for companies, as freelancers, or on contract, and are valued for their ability to efficiently solve problems and collaborate with teams online. The flexibility of this job makes it attractive for those seeking work-life balance and the freedom to work from anywhere.

What is the difference between Flexible Python Developer Remote vs Python Software Engineer?

AspectFlexible Python Developer RemotePython Software Engineer
CredentialsProficiency in Python, experience with remote work toolsProficiency in Python, often with additional software engineering certifications
Work EnvironmentRemote, flexible hours, independentTypically office-based or hybrid, structured hours
Industry UsageFreelance, startups, tech companiesTech firms, large corporations, product teams
Search IntentRemote Python jobs, freelance Python rolesFull-time Python development roles

Flexible Python Developer Remote roles focus on remote, flexible work arrangements often suited for freelancers or independent contractors. Python Software Engineer positions are usually full-time, structured roles within companies. While both require Python skills, the work environment and employment type differ significantly, catering to different job seekers' preferences.

What are the most commonly searched types of Python Developer Remote jobs in Washington? The most popular types of Python Developer Remote jobs in Washington are:
What are popular job titles related to Flexible Python Developer Remote jobs in Washington? For Flexible Python Developer Remote jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Flexible Python Developer Remote jobs in Washington look for? The top searched job categories for Flexible Python Developer Remote jobs in Washington are:
What cities in Washington are hiring for Flexible Python Developer Remote jobs? Cities in Washington with the most Flexible Python Developer Remote job openings:
Flexible Python Developer Remote jobs near you
Infographic showing various Flexible Python Developer Remote job openings in Washington as of May 2026, with employment types broken down into 45% Full Time, 23% Part Time, and 32% Contract. Highlights an 100% Remote job distribution.

Remote Sensing Engineer

Riverside Research Institute

Fairfax, VA • On-site, Remote

$150K - $180K/yr

Full-time

Posted 15 days ago

Job description

Riverside Overview
Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems.
All Riverside Research opportunities require U.S. Citizenship.
Position Overview
Riverside Research's Cognitive Intelligence Solutions Group (CISG) is seeking a Remote Sensing Engineer to support cutting-edge geospatial intelligence, autonomous sensing, and AI/ML-driven data exploitation efforts for the U.S. Department of Defense and Intelligence Community. The successful candidate will serve as a technical lead responsible for the automated verification and validation (V&V), test and evaluation (T&E), and performance assessment of remote sensing data pipelines, AI/ML models, and third-party vendor capabilities. This role bridges rigorous scientific methodology with production-grade engineering, enabling CISG to deliver validated, mission-ready geospatial intelligence products. The ideal candidate combines deep expertise in multispectral and hyperspectral remote sensing with hands-on experience applying machine learning to operational geospatial workflows.
This position is located in Fairfax, VA.
#LI-Onsite
Responsibilities
  • Design, develop, and implement automated V&V and T&E frameworks to assess the accuracy, performance, and operational readiness of remote sensing data products, AI/ML models, and vendor-delivered geospatial capabilities.
  • Lead the technical evaluation of commercial and government remote sensing platforms, sensors (multispectral, hyperspectral, SAR, LiDAR), and associated data products against mission-specific requirements.
  • Develop and maintain scalable, production-grade machine learning pipelines for geospatial applications including change detection, land cover classification, object detection, and environmental monitoring.
  • Apply state-of-the-art AI/ML techniques - including deep learning, transfer learning, self-supervised learning, and large vision/language models - to automate remote sensing data exploitation and analysis workflows.
  • Conduct rigorous uncertainty quantification, validation metric development, and statistical performance benchmarking across multi-source, multi-temporal geospatial datasets.
  • Architect and execute data quality assessment (DQA) protocols for ingested satellite, airborne, and in-situ sensor data; document and communicate findings to program teams and stakeholders.
  • Collaborate with program managers, government customers, and interdisciplinary engineering teams to translate operational requirements into validated technical solutions.
  • Evaluate and integrate emerging remote sensing technologies and open-source AI/ML frameworks; assess vendor claims, algorithm documentation, and technical data packages.
  • Contribute to IRAD initiatives advancing CISG's remote sensing and autonomous sensing capabilities, including development of novel approaches for environmental monitoring, target detection, and geospatial change analytics.
  • Author technical reports, white papers, and briefings documenting methodology, V&V results, and performance findings for government sponsors.
  • Provide technical mentorship to junior engineers and researchers on remote sensing methods, ML best practices, and geospatial data science.
  • Stay current with advances in foundation models, multi-modal geospatial AI, and emerging remote sensing sensor modalities relevant to national security applications.

Qualifications
Required Qualifications:
  • Active U.S. Citizenship (required for all Riverside Research positions).
  • Must be able to obtain and maintain a Top Secret security clearance with SCI access; ability to obtain program-specific clearances as required. Candidates with an active TS/SCI are strongly preferred.
  • Bachelor's degree in Remote Sensing, Geospatial Science, Earth Systems, Electrical Engineering, Computer Science, or a closely related STEM field.
  • A minimum of 8 years of related experience with a Bachelor's degree, 6 years with a Master's degree, 3 years with a PhD, or equivalent combination of education and experience. Graduate research experience counts toward this threshold.
  • Demonstrated expertise in multispectral and/or hyperspectral remote sensing data analysis, including atmospheric correction, spectral indices, spectral unmixing, and feature extraction.
  • Proficiency in Python for geospatial data engineering, including experience with rasterio, rioxarray, xarray, GDAL, geopandas, NumPy, and scikit-learn.
  • Hands-on experience with machine learning and statistical modeling applied to remote sensing or geospatial datasets (e.g., classification, regression, anomaly detection, change detection).
  • Experience developing and executing V&V or T&E processes for data products, software systems, or AI/ML models, including design of test plans, performance metrics, and acceptance criteria.
  • Familiarity with geospatial platforms and tools: ArcGIS Pro, QGIS, ENVI, and/or Google Earth Engine.
  • Experience with cloud-based geospatial workflows (AWS, Google Cloud, or Azure) and version control practices (Git/GitLab/GitHub).
  • Strong written and verbal communication skills with demonstrated ability to present complex technical findings to both technical and non-technical audiences.

Desired / Preferred Qualifications:
  • Active Top Secret/SCI clearance - candidates who already hold an active TS/SCI will be given strong preference and can expect an accelerated onboarding timeline.
  • Experience supporting DoD, Intelligence Community, or national security remote sensing programs (NRO, NGA, AFRL, ARO, or equivalent).
  • Familiarity with hyperspectral sensing platforms (e.g., AVIRIS, PRISMA, orbital hyperspectral systems) and hyperspectral analytics pipelines including mineral characterization and vegetation health assessment.
  • Experience applying deep learning frameworks (PyTorch, TensorFlow, Hugging Face) to geospatial or computer vision tasks, including fine-tuning foundation models or geospatial FMs (e.g., Prithvi, SatMAE, Clay).
  • Background in SAR processing, LiDAR analysis, or multi-modal sensor fusion for environmental or intelligence applications.
  • Experience with automated testing frameworks, CI/CD pipelines, and MLOps practices for geospatial AI/ML systems.
  • Track record of peer-reviewed publication, conference presentations (e.g., IGARSS, AGU, SPIE), or technical reports in remote sensing or geospatial AI.
  • Demonstrated experience in a lead or senior individual contributor role, including mentorship of junior technical staff and coordination across multi-disciplinary teams.
  • Familiarity with GEOINT tradecraft, NSDI standards, or DoD geospatial data standards (NTM, NITF, STANAG imagery formats).

Global Comp
$115,000 - $200,000 This represents the typical compensation range for this position based on experience, location and other factors.
Closing Statement
Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees.
Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran's status or any other status legally protected by applicable federal, state, and local law.

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