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Geospatial Data Engineer Remote Jobs in Washington, DC

Data Scientist

Alexandria, VA ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As pioneers in the geospatial industry, our Agentic AI Platform, Iris, accelerates speed-to-answer ... Collaborate with the engineering and research & development teams to develop, refine, and scale ...

Data Scientist

Alexandria, VA ยท Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As pioneers in the geospatial industry, our Agentic AI Platform, Iris, accelerates speed-to-answer ... Collaborate with the engineering and research & development teams to develop, refine, and scale ...

Data Manager, Senior

Alexandria, VA ยท On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0243922 Location: Alexandria,VA,US Share job via: Share Data Manager ... Manages all aspects of product engineering activities including hardware, software, automation, and ...

Data Engineer

Fort George G Meade, MD ยท On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0241771 Location: Fort Meade,MD,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

Data Engineer

Fort George G Meade, MD ยท On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0244467 Location: Fort Meade,MD,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

Be Seen First

Data Engineer

Washington, DC ยท Remote

$98K - $128K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote Position Summary The Data Engineer / Data Project Lead provides technical leadership for data management and data engineering activities under the Client's National Customer Service ...

Data Engineer

Chantilly, VA ยท On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0241347 Location: Chantilly,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

Data Engineer

Chantilly, VA ยท On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0245506 Location: Chantilly,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

Data Engineer

Arlington, VA ยท On-site +1

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: Hybrid Job Number: R0241523 Location: Arlington,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ...

Data Engineer

Chantilly, VA ยท On-site +1

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0245373 Location: Chantilly,VA,US Share job via: Share Data Engineer The Opportunity: Booz Allen is seeking a Data Engineer to architect, develop, and optimize scalable ...

Senior DevOps Engineer (NOAA badge required)

Alexandria, VA ยท Remote

$133K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... is cloud-based geospatial data processing, remote sensing, and Earth science systems. Our ... Engineer with a strong background in architecting reliable, scalable cloud systems and a proven ...

Data Engineer

Mclean, VA ยท Remote

$142K - $190K/yr

Overview The Data Engineer builds and maintains the source adapters and normalization logic that ... This position is remote but will require travel in the DMV area. Responsibilities * Build source ...

Showing results 41-60

Geospatial Data Engineer Remote information

See Washington, DC salary details

$50.4K

$146.9K

$201K

How much do geospatial data engineer remote jobs pay per year?

As of Aug 19, 2026, the average yearly pay for geospatial data engineer remote in Washington, DC is $146,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $155,700.00 per year, depending on experience, location, and employer.

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 Washington, DC?

The most popular types of Geospatial Data Engineer jobs in Washington, DC are:

What are popular job titles related to Geospatial Data Engineer Remote jobs in Washington, DC?

For Geospatial Data Engineer Remote jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Geospatial Data Engineer Remote jobs in Washington, DC look for?

The top searched job categories for Geospatial Data Engineer Remote jobs in Washington, DC are:

Infographic showing various Geospatial Data Engineer Remote job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.

Junior Data Engineer (Faculty Specialist)

Umd

College Park, MD โ€ข On-site, Remote

Full-time

Re-posted 10 days ago


Job description

Job Description SummaryOrganization's Summary Statement:
The A. James Clark School of Engineering at the University of Maryland serves as the catalyst for high-quality research, innovation, and learning, delivering on a promise that all graduates will leave ready to impact the Grand Challenges (e.g., energy, environment, security, and human health) of the 21st century. The Clark School is dedicated to leading and transforming the engineering discipline and profession, to accelerating entrepreneurship, and to transforming research and learning activities into new innovations that benefit millions.
The Center for Advanced Transportation Technology (CATT) Laboratory is the industry leader for transportation information analysis, visualization, and user interface design. We provide cutting-edge analytics products and an integrated suite of situational awareness tools for transportation practitioners. These products and services are rapidly changing the way governments operate and make decisions. You can learn more about our products at https://ritis.org/.
We receive hundreds of gigabytes of transportation data daily, making our petabytes of archived data likely the largest collection of traffic data in the world. Our clients use our software to monitor real-time operations and analyze historical data to generate valuable insights. Our work saves taxpayers money, improves the environment, and saves lives!
We're as passionate about transportation as we are about building great software. We care about building usable, stable, and secure software to analyze massive amounts of data. We use cutting-edge tech to build and maintain our software. We have a mature development process and use industry best practices to build the best software possible. Our team is composed of application developers, analysts, UX designers, data scientists, IT, quality assurance specialists, and customer support operating in an Agile environment.
Our office is in College Park near the University of Maryland, easily accessible by DC Metro, MARC train, bus, car, and bike. Local employees are welcome to work in our office, or other locations, with a flexible schedule around our core hours. We also have many employees who are fully remote and work from different states. UMD requires all employees to live in the US, and we periodically bring remote employees to work with colleagues on-site.
We believe varied perspectives build better products, are proud to have a diverse team, and encourage people of all backgrounds to apply.
When you join our team, you will work to define, document, and test a wide variety of transportation data analytics and operations applications. You will learn new skills and stay current with industry best practices and emerging technologies.
The CATT Lab is seeking an early career Data Engineer to join our Data Platform team. This individual will work to design, develop, and support over 40 relational database instances and distributed Cassandra and Hadoop instances. They will apply their knowledge, skills, and experience to create stable, secure, and reliable data platforms supporting custom data analytics applications. They will learn new skills and stay current with industry best practices and emerging technologies. If you're looking for complex data problems in the GIS domain to collaboratively solve with a brilliant research and development team, please apply!
Can be 100% remote (US based only)
Physical Demands:
Sedentary work performed in an office environment. Regularly required to communicate and exchange information and to use technology/devices. Position can be 100% remote (US based only)
Minimum qualifications:
B.S. Degree in Computer Science or related field
Relevant academic or internship experience with design, development, and administration of data platform solutions
Experience writing ETL scripts and standalone applications in Python and/or Java
Expertise writing and tuning SQL queries
Experience deploying, configuring, maintaining, and upgrading production-level database servers and services
Preferences:
Experience administering PostgreSQL servers, performance tuning, streaming replication, and PgBouncer failover configuration
Experience with non-relational data storage and processing solutions like Cassandra, Hadoop, Spark, Iceberg, Sedona etc.
Experience working with geospatial datasets, using geospatial extensions (such as PostGIS) and querying features.
Experience with Linux (RHEL), including writing robust Bash scripts.
Experience architecting and implementing backup and recovery strategies.
Experience with Git, Jira, Confluence, and Bitbucket.
Experience with cloud platforms including AWS and GCP.
Licenses/ Certifications:Additional Job Details

Required Application Materials:

  • Resume/CV
  • LinkedIn profile link
  • Link to repository (GitHub or similar) to show work
  • References upon request

Can this statement be added? "This position requires the employee to maintain a work presence within the United States for the duration of employment, including while performing remote work.

Best Consideration Date: 06/15/2026

Posting Close Date: 08/23/2026

Open Until Filled: Yes

Financial Disclosure RequiredNo

For more information on Financial Disclosure, please visit Maryland's State Ethics Commission website.

DepartmentENGR-Civil-Center for Advanced Transportation TechnologyWorker Sub-Type Faculty RegularSalary Range$80,000-$100,00
Benefits Summary

For more information on Regular Faculty benefits, select this link.

Background Checks

Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regardingdisclosablebackground checkinformation. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.

Employment Eligibility

The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.

EEO Statement

The University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment. Please read the University's Equal Employment Opportunity Statement of Policy.

Title IX Non-Discrimination NoticeResources
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