2

Geospatial Data Engineer Remote Jobs in Virginia

Data Engineer

Centreville, VA ยท On-site +1

$113K - $136K/yr

Client is seeking a data engineer to grow our team performing cutting edge client work in mission ... Schedules (Remote / Hybrid) - - Medical / Dental / Vision / Flexible Spending Account (FSA ...

Senior Data Engineer

Mclean, VA ยท Remote

$107K - $145K/yr

Senior Data Engineer Job Number: 912 This is a remote position. Ad Hoc is a technology company that empowers organizations to deliver scalable, impactful digital services. Using modern, agile methods ...

Data Engineer

Richmond, VA ยท Remote

$50 - $87/hr

Join a fully remote opportunity where you'll help shape data-driven reporting, streamline workflows ... This role blends hands-on data engineering with dashboard development, offering the chance to work ...

Data Engineer, Mid

Alexandria, VA ยท On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0240987 Location: Alexandria,VA,US Share job via: Share Data Engineer, Mid The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ...

Bachelor's degree in Geospatial Intelligence, Geography, Remote Sensing, Intelligence Studies ... Experience in data modeling, partition sharding, stream processing, and metrics gathering.

Remote Work: No Job Number: R0247486 Location: Alexandria,VA,US Share job via: Share Data Scientist ... Experience with geospatial data analysis * Experience with Databricks for data science workflows ...

ETL Data Engineer

Mclean, VA ยท On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0241379 Location: McLean,VA,US Share job via: Share ETL Data Engineer The Opportunity: As a data engineer, you know that a good site or system needs the right combination ...

Senior Data Engineer

VA ยท Remote

$140K/yr

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers ... This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S.

Lidar Quality Analyst

Fairfax, VA ยท Remote

$69K - $88K/yr

... and engineering firm. This position offers great potential for professional growth and the ... Experience with digital elevation data, imagery, and other geospatial products * Experience ...

Mission (Data) Engineer

Arlington, VA ยท Remote

$131K - $158K/yr

Mission (Data)Engineer Travel: Approximately 10% international travel required. Number of Openings ... Flexible remote work environment * Additional benefits like flexible hours, work travel ...

Senior Data Engineer

VA ยท Remote

$110K - $150K/yr

Senior Data Engineer Location: 100% Remote (U.S. based) - must work core Eastern Time hours. Candidates based in Eastern or Central time zones only; Mountain and Pacific time zones will not be ...

Showing results 41-60

Geospatial Data Engineer Remote information

What is a geospatial data engineer?

A Geospatial Data Engineer is a technology professional who designs, develops, and manages systems for collecting, storing, analyzing, and visualizing geospatial (location-based) data. They work with geographic information systems (GIS), spatial databases, and cloud platforms to process large datasets from sources like satellites, drones, and sensors. In a remote setting, they collaborate with teams online to build and maintain geospatial data pipelines and support decision-making for industries such as urban planning, environmental science, and logistics.

What are the typical challenges faced by remote geospatial data engineers when collaborating with distributed teams?

Remote Geospatial Data Engineers often navigate challenges such as coordinating across different time zones, ensuring data consistency, and maintaining effective communication with team members who may have varying technical backgrounds. Utilizing collaborative tools like version control systems and cloud-based platforms helps streamline workflows, but clear documentation and regular check-ins are essential to prevent misunderstandings. Building strong relationships virtually and proactively addressing technical or logistical issues can greatly enhance productivity and teamwork in a remote setting.

What are the key skills and qualifications needed to thrive as a geospatial data engineer in a remote role, and why are they important?

To thrive as a Geospatial Data Engineer (Remote), you need a strong background in GIS, geospatial analysis, and computer science, often supported by a related degree and experience with spatial databases. Proficiency with tools like Python, SQL, PostGIS, ArcGIS, and cloud platforms is typically required, along with relevant certifications such as GISP. Excellent problem-solving, communication, and self-management skills are essential for collaborating across distributed teams and delivering results independently. These skills ensure effective management of complex geospatial datasets, seamless integration of spatial data solutions, and success in a remote work environment.

What is the difference between Geospatial Data Engineer Remote vs GIS Analyst?

AspectGeospatial Data Engineer RemoteGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; experience with GIS software and programmingBachelor's in Geography, GIS, or related field; proficiency in GIS tools
Work EnvironmentRemote, often collaborative with teams across locationsTypically office-based or hybrid; fieldwork possible
Employer & Industry UsageTech companies, government agencies, environmental firmsUrban planning, government, environmental consulting
Common Search & ComparisonOften compared for GIS and data engineering roles in remote settings

The main difference between a Geospatial Data Engineer Remote and a GIS Analyst lies in their focus and skill set. Geospatial Data Engineers primarily develop and maintain data pipelines and infrastructure, often requiring programming skills, while GIS Analysts focus on spatial data analysis and map creation. Both roles may work remotely and share similar educational backgrounds, but their daily tasks and technical expertise differ significantly.

What are the most commonly searched types of Geospatial Data Engineer jobs in Virginia?

The most popular types of Geospatial Data Engineer jobs in Virginia are:

What job categories do people searching Geospatial Data Engineer Remote jobs in Virginia look for?

The top searched job categories for Geospatial Data Engineer Remote jobs in Virginia are:

What cities in Virginia are hiring for Geospatial Data Engineer Remote jobs?

Cities in Virginia with the most Geospatial Data Engineer Remote job openings:

Infographic showing various Geospatial Data Engineer Remote job openings in Virginia as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Data Engineer

Centreville, VA โ€ข On-site, Remote

Edgesource
51 - 200 employees

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


Key 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.


Job description

Company Overview:

For over 25 years,ย 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 maintainย ETL/ELT pipelinesย for batch and real-time processing usingย 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.
  • Optimizeย data processing and queriesย for performance and cost efficiency inย AWS S3.
  • Exposure to PySpark or other big data frameworksย 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 optimizeย data storage in AWS S3, including raw, intermediate, and final datasets.
  • Implementย data governance practices, including documentation, cataloging, lineage, and security.
  • Ensure compliance security standards.

Collaboration with Data Science & Stakeholders

  • Work closely withย Data Scientists, Analysts, and stakeholdersย to understand data requirements.
  • Prepareย clean, structured, and feature-ready datasetsย for analytics and machine learning.
  • Supportย feature engineering, aggregations, and transformationsย at scale.
  • Assist in deploying ML models to production, ensuring monitoring, versioning, and performance optimization.

APIs, Containers & CI/CD

  • Integrate withย REST APIs.
  • Utilizeย 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:

  • 3โ€“5 years + of professional experience inย data engineeringย or related roles.
  • Strong collaboration skills to work effectively withย Data Scientists, Analysts, and Engineering teams.
  • Ability toย communicate complex technical conceptsย to non-technical stakeholders.
  • Detail-oriented, curious, and committed toย data quality.
  • Capable of managingย multiple prioritiesย in a fast-paced environment.

Technical Skills

  • Python, SQL, and PySpark (highly desired)ย for data processing and pipeline development.
  • Elastic/OpenSearchย for search and analytics solutions.
  • Experience withย AWS cloud servicesย andย Linux environments.
  • Gitย for version control and collaborative development.
  • Understanding ofย machine learning workflowsย andย 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 includeย 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:

-ย Flexible PTO Policyย + 11 Paid Holidaysย -
-ย Flexible Work Schedules (Remote / Hybrid)ย -
-ย Medical / Dental / Vision / Flexible Spending Account (FSA)ย -
-ย 401k Plan with Matchย -
-ย Tuition & Professional Developmentย Supportย -
-ย Commuter Benefitsย -
-ย Bonus & Employee Referral Programsย -
-ย 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 atย recruiting@edgesource.comย or by phone at (703) 837-0550.