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Remote Unmanned Systems Jobs in Virginia (NOW HIRING)

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

From providing boutique technical solutions in support of the DOD Counter Unmanned Aerial Systems ... Schedules (Remote / Hybrid) - - Medical / Dental / Vision / Flexible Spending Account (FSA ...

Showing results 21-22

Remote Unmanned Systems information

How does a remote unmanned systems professional typically collaborate with field teams and stakeholders while working offsite?

Remote Unmanned Systems professionals regularly engage with field operators, engineers, and project managers through digital communication platforms, such as video conferencing and shared mission planning tools. They are responsible for monitoring system performance, providing technical support, and coordinating mission updates in real time to ensure safe and effective operations. Strong communication skills and the ability to troubleshoot remotely are essential, as collaboration often involves translating complex technical data into actionable insights for both technical and non-technical stakeholders.

What is the difference between Remote Unmanned Systems vs Remote Drone Pilot?

AspectRemote Unmanned SystemsRemote Drone Pilot
CredentialsFAA Part 107 certification, technical trainingFAA Part 107 certification, pilot license
Work EnvironmentField operations, data analysis, system managementFlying drones remotely, on-site or office-based
Industry UsageAerospace, defense, agriculture, researchFilmmaking, inspection, surveying

Remote Unmanned Systems professionals design, operate, and manage various unmanned platforms, including drones, ground robots, and autonomous vehicles, often involving complex systems and data analysis. Remote Drone Pilots specifically focus on flying drones remotely for tasks like filming or inspections. While both roles require FAA Part 107 certification, Remote Unmanned Systems roles encompass a broader range of technologies and responsibilities, making them more versatile in various industries.

What is a remote unmanned system?

Remote Unmanned Systems are vehicles or devices that operate without a human physically onboard, and are controlled remotely by an operator or autonomously via pre-programmed instructions. These systems can include drones, unmanned aerial vehicles (UAVs), unmanned ground vehicles (UGVs), unmanned underwater vehicles (UUVs), and remotely operated robots. They are used in a wide range of industries such as defense, agriculture, logistics, infrastructure inspection, and environmental monitoring. Remote Unmanned Systems improve efficiency, safety, and access to locations that may be hazardous or inaccessible to humans. As technology advances, their capabilities and applications continue to expand.

What are the key skills and qualifications needed to thrive as a remote unmanned systems operator, and why are they important?

To excel as a Remote Unmanned Systems Operator, you typically need a strong background in electronics, mechanical systems, and operational protocols, often supported by relevant technical degrees or military training. Familiarity with remote piloting software, sensor payload integration, and certifications such as FAA Part 107 for drones are commonly required. Excellent situational awareness, problem-solving skills, and clear communication are crucial soft skills for making quick decisions and coordinating with teams. These competencies ensure safe, efficient, and mission-successful operation of unmanned systems in dynamic environments.

What are popular job titles related to Remote Unmanned Systems jobs in Virginia?

For Remote Unmanned Systems jobs in Virginia, the most frequently searched job titles are:

What cities in Virginia are hiring for Remote Unmanned Systems jobs?

Cities in Virginia with the most Remote Unmanned Systems job openings:

Infographic showing various Remote Unmanned Systems job openings in Virginia as of August 2026, with employment types broken down into 85% Full Time, 9% Part Time, 5% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Data Engineer

Edgesource

Centreville, VA • On-site, Remote

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago


Job description

Company Overview:

For over 25 years, Edgesource Corporation has served as an innovative technology service provider for the Department of Defense (DOD), Department of Homeland Security (DHS), Department of State (DOS), the U.S. Intelligence Community, Law Enforcement, and other federal, state, and commercial clients locally, nationally, and abroad. From providing boutique technical solutions in support of the DOD Counter Unmanned Aerial Systems (CUAS) mission set to addressing the most critical Cybersecurity threats facing our nation as a prime contractor with the DHS Cybersecurity & Infrastructure Security Agency (CISA), a career at Edgesource is an opportunity to do meaningful, interesting, and impactful work.

Position Overview:

  • Client is seeking a data engineer to grow our team performing cutting edge client work in mission space. With overwhelming amounts of large data, client is seeking a data engineer to support data structuring for implementation into a larger enterprise system that is being custom developed for client.

Development is performed on client site.

Responsibilities:

  • Design, develop, and maintain ETL/ELT pipelines for batch and real-time processing using Python and SQL.
  • Integrate data from multiple sources, including databases, APIs, streaming platforms, PDFs, and MS Office files.
  • Build scalable data architectures to support analytics and machine learning workloads.
  • Optimize data processing and queries for performance and cost efficiency in AWS S3.
  • Exposure to PySpark or other big data frameworks is a plus for future pipeline scalability.
  • Develop and implement web scraping and data ingestion workflows to collect open-source data, integrating content and producing structured datasets and visualizations for analytics and stakeholder consumption.

Data Management & Optimization

  • Collect, clean, and validate large volumes of structured and unstructured data.
  • Track data versions, implement data quality checks, and ensure data reliability.
  • Design and optimize data storage in AWS S3, including raw, intermediate, and final datasets.
  • Implement data governance practices, including documentation, cataloging, lineage, and security.
  • Ensure compliance security standards.

Collaboration with Data Science & Stakeholders

  • Work closely with Data Scientists, Analysts, and stakeholders to understand data requirements.
  • Prepare clean, structured, and feature-ready datasets for analytics and machine learning.
  • Support feature engineering, aggregations, and transformations at scale.
  • Assist in deploying ML models to production, ensuring monitoring, versioning, and performance optimization.

APIs, Containers & CI/CD

  • Integrate with REST APIs.
  • Utilize Docker, Kubernetes, Git, and CI/CD pipelines to deploy and manage workflows.

Documentation & Communication

  • Document pipelines, data schemas, and transformations clearly.
  • Communicate technical concepts effectively with cross-functional teams.
  • Participate in code reviews and promote best practices across the team.

Required Qualifications:

  • 3–5 years + of professional experience in data engineering or related roles.
  • Strong collaboration skills to work effectively with Data Scientists, Analysts, and Engineering teams.
  • Ability to communicate complex technical concepts to non-technical stakeholders.
  • Detail-oriented, curious, and committed to data quality.
  • Capable of managing multiple priorities in a fast-paced environment.

Technical Skills

  • Python, SQL, and PySpark (highly desired) for data processing and pipeline development.
  • Elastic/OpenSearch for search and analytics solutions.
  • Experience with AWS cloud services and Linux environments.
  • Git for version control and collaborative development.
  • Understanding of machine learning workflows and MLOps concepts.

Working at Edgesource:
As an ISO 9001:2015 certified and CMMI Level 3 appraised small business, Edgesource specializes in providing a variety of technical solutions to include software development, database services, enterprise networking, data center virtualization, and management support. We are always seeking top-talent to join our team in helping to address the most critical technical challenges facing our nation.

At Edgesource, we understand that our employees are our greatest asset, and as such we offer a wide array of benefits to support the well-being of our staff to include:

- Flexible PTO Policy + 11 Paid Holidays -
- Flexible Work Schedules (Remote / Hybrid) -
- Medical / Dental / Vision / Flexible Spending Account (FSA) -
- 401k Plan with Match -
- Tuition & Professional Development Support -
- Commuter Benefits -
- Bonus & Employee Referral Programs -
- Career Growth Opportunities -

Disclaimer:

Edgesource Corporation is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Edgesource is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please contact our Recruiting Department by email at recruiting@edgesource.com or by phone at (703) 837-0550.