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Python Developer Remote Jobs in Merrifield, VA (NOW HIRING)

Otoe Missouria Group

DevSecOps Engineer

Washington, DC · On-site +1

... DevOps. • Security+ or cloud certifications preferred. • Python Institute certification, such as PCEP, PCAP, or PCPP, strongly preferred. Work Environment & Schedule • Full-time remote role ...

Ampcus

Data Engineer

Mclean, VA · Remote

$117.50K - $141.10K/yr

Python Programming: Develop and maintain scripts and applications using Python to automate data ... Ability to travel to local and remote sites as needed to support organizational objectives.

Knack Solutions

DevOps Engineer

Reston, VA · Remote

$55 - $75.25/hr

AWS/Devops Engineer Location: 100% Remote Contract: 12-24 months Skills required: * Multiple contractor with DevOps, AWS, and Python skill sets (bonus if they have Kubernetes, Golang) * Build and ...

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How much do python developer remote jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for python developer remote in Merrifield, VA is $58.47, according to ZipRecruiter salary data. Most workers in this role earn between $48.17 and $66.39 per hour, depending on experience, location, and employer.

What Are Remote Python Developer Jobs?

Remote Python developer positions design, code, and troubleshoot software and applications using the Python programming language. Instead of working in the office, remote Python developers work from home or another location outside of the office with internet connectivity. Remote Python developers often work on server-side projects related to databases, web servers, and big data manipulation. Your responsibilities include coding specific software functions, testing the format, and debugging issues. Depending on the project, you may start from scratch and build a brand new application, add features to the company's current software, or streamline existing code within the applications used throughout the company. Remote Python developers may work on the staff of an organization or be independent contractors with many different clients.

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

To thrive as a Python Developer in a remote role, you need strong programming skills in Python, a solid understanding of software development principles, and typically a degree in computer science or related experience. Familiarity with version control systems like Git, frameworks such as Django or Flask, and cloud platforms (e.g., AWS or Azure) is commonly required. Excellent problem-solving abilities, self-motivation, and clear written communication help remote Python developers excel in distributed teams. These skills ensure efficient code delivery, robust collaboration, and the ability to independently tackle complex projects from anywhere.

What are some common challenges faced by remote Python Developers, and how can they be addressed?

Remote Python Developers often face challenges related to communication, collaboration, and staying aligned with team goals due to physical distance. To address these issues, it's important to establish clear communication channels, actively participate in daily stand-ups or sync meetings, and utilize project management tools. Regular code reviews and pair programming sessions can also help maintain code quality and foster teamwork. Additionally, setting up a dedicated and distraction-free workspace at home can significantly boost productivity.

What does a remote Python developer do?

A remote Python developer designs, builds, and maintains software applications using the Python programming language, working from a location outside of a traditional office environment. Their responsibilities often include writing clean and efficient code, debugging and troubleshooting issues, collaborating with team members through online tools, and integrating third-party services or APIs. Remote Python developers may work on web applications, data analysis, automation scripts, or back-end systems, depending on the employer's needs. They must also manage their time effectively and communicate clearly to succeed in a distributed team setting.

What is the difference between Python Developer Remote vs Data Analyst Remote?

AspectPython Developer RemoteData Analyst Remote
Required SkillsPython, programming, software developmentData analysis, SQL, Excel, visualization
Work EnvironmentRemote, tech companies, software firmsRemote, finance, marketing, consulting
Common CertificationsPython certifications, coding bootcampsData analysis certifications, Excel, SQL

Python Developer Remote and Data Analyst Remote roles often share a remote work environment and require technical skills. However, Python Developers focus on coding and software development, while Data Analysts specialize in analyzing data and generating insights. Both roles are in high demand across various industries and often require similar certifications, making them popular choices for remote tech careers.

More about Python Developer Remote jobs
What cities near Merrifield, VA are hiring for Python Developer Remote jobs? Cities near Merrifield, VA with the most Python Developer Remote job openings:
Python Developer Remote jobs near you
Infographic showing various Python Developer Remote job openings in Merrifield, VA as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $121,623 per year, or $58.5 per hour.

Remote Sensing Engineer

Riverside Research Institute

Fairfax, VA • On-site, Remote

$150K - $180K/yr

Full-time

Posted 16 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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