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Geospatial Data Science Jobs in Washington (NOW HIRING)

Electrosoft

Data Architect

Arlington, VA · On-site

$73.25 - $94.25/hr

Master's degree in Computer Science, Information Systems, Data Science, Geospatial Science, Geographic Information Systems (GIS), Information Technology, Engineering, or a related discipline.

GRVTY

Data Scientist, Senior

Chantilly, VA · On-site +1

Prior work supporting NGA, NRO, or other IC programs, particularly in an analytical or data science capacity. * Experience with geospatial Python libraries such as GeoPandas, Shapely, Rasterio, or ...

GRVTY

Data Scientist, Senior

Chantilly, VA · On-site

Prior work supporting NGA, NRO, or other IC programs, particularly in an analytical or data science capacity. * Experience with geospatial Python libraries such as GeoPandas, Shapely, Rasterio, or ...

Socket.dev

Data Architect

Arlington, VA · On-site

$140 - $190/hr

Master's degree in Computer Science, Information Systems, Data Science, Geospatial Science, Geographic Information Systems (GIS), Information Technology, Engineering, or a related discipline.

Socket.dev

Data Scientist, Senior

Chantilly, VA · On-site

$190 - $240/hr

Prior work supporting NGA, NRO, or other IC programs, particularly in an analytical or data science capacity. * Experience with geospatial Python libraries such as GeoPandas, Shapely, Rasterio, or ...

Dewberry

Geospatial Analyst II

Fairfax, VA · On-site

$69K - $88K/yr

Bachelor's degree in computer science, data science, GIS or other relevant geospatial or data science related field. * At least 2 years' experience working with Esri technology, particularly with ...

Dewberry

Geospatial Analyst II

Fairfax, VA · On-site

$69K - $88K/yr

Bachelor's degree in computer science, data science, GIS or other relevant geospatial or data science related field. * At least 2 years' experience working with Esri technology, particularly with ...

Whitespace

Data Scientist

Alexandria, VA · On-site

$120 - $160/hr

A minimum of 5 years of experience in data science with a focus on geospatial data analysis. * Conducts statistical modeling and experimental design, tests, and validates predictive models.

INCATech LLC

Geospatial Engineer

Northern Virginia, VA · On-site

Collect, analyze, validate, and manage geospatial data using GIS, remote sensing, and GPS tools ... Bachelor's degree in geography, GIS, geospatial engineering, computer science, or related field ...

GRVTY

Geospatial Analyst - Mid

Falls Church, VA · On-site

... data science principles, including tools such as: • RemoteView • Cedalion • ArcGIS Pro • ... Advanced geospatial skills • Strong understanding of how to apply evolving technology and ...

Wiser

Data Scientist (Mid) - TS/SCI

Springfield, VA · On-site

$85K - $120K/yr

Knowledgeable in data science, including the areas of data services, modeling, and analytics.Knowledgeable of geospatial data management including data type conversion; coordinate systems (latitude ...

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All JobsGeospatial Data Science JobsGeospatial Data Science Jobs in Washington

Geospatial Data Science information

See Washington salary details

$24.9K

$87.8K

$138.2K

How much do geospatial data science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for geospatial data science in Washington is $87,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $90,600.00 per year, depending on experience, location, and employer.

What is geospatial data science?

Geospatial data science is an interdisciplinary field that focuses on analyzing and interpreting data that has a geographic or spatial component. It combines techniques from data science, statistics, and geographic information systems (GIS) to extract insights, identify patterns, and solve problems related to location-based data. Professionals in this field work with mapping, remote sensing, spatial analysis, and visualization tools to support decision-making in areas like urban planning, environmental monitoring, and logistics.

What are the key skills and qualifications needed to thrive as a geospatial data scientist?

To thrive as a Geospatial Data Scientist, you need a solid background in statistics, spatial analysis, and programming, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), spatial databases, and coding languages like Python or R is essential, and certifications in GIS can be advantageous. Strong problem-solving skills, attention to detail, and effective communication help translate complex spatial data into actionable insights for diverse stakeholders. These skills ensure accurate data analysis, innovative solutions, and impactful decision-making in fields reliant on geographic information.

How does a geospatial data scientist typically collaborate with other departments or teams within an organization?

Geospatial Data Scientists often work closely with professionals from diverse departments such as urban planning, environmental science, IT, and business analytics. Collaboration usually involves sharing spatial insights, integrating geospatial data with other datasets, and contributing to interdisciplinary projects that require spatial analysis or mapping. Effective communication is crucial, as you'll translate complex geospatial findings into actionable recommendations for non-technical stakeholders. This cross-functional teamwork not only broadens your understanding of organizational goals but also enhances the impact and visibility of geospatial analyses.

What is the difference between Geospatial Data Science vs GIS Analyst?

AspectGeospatial Data ScienceGIS Analyst
Required CredentialsDegree in Data Science, Geography, or related; often includes programming skillsDegree in Geography, GIS, or related; GIS certifications common
Work EnvironmentData analysis, modeling, programming, often in tech or research settingsMapping, spatial data management, using GIS software in various industries
Employer & Industry UsageTech companies, research institutions, government agencies focusing on spatial data analysisUrban planning, environmental agencies, utilities, and government agencies

While both roles work with spatial data, Geospatial Data Science emphasizes data analysis, modeling, and programming skills to extract insights from geospatial data. GIS Analysts focus more on mapping, data management, and using GIS software for spatial analysis. The roles often overlap but differ mainly in technical focus and application areas.

What are popular job titles related to Geospatial Data Science jobs in Washington?

For Geospatial Data Science jobs in Washington, the most frequently searched job titles are:

Geospatial Data Science jobs near you
Infographic showing various Geospatial Data Science job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $87,770 per year, or $42.2 per hour.

Data Architect

Electrosoft

Arlington, VA • On-site

$73.25 - $94.25/hr

Full-time

Posted 19 days ago

Job description

Electrosoft Services, LLC is an award-winning company that provides comprehensive technology-based solutions and services to federal customers. While cybersecurity is our specialty, we also focus on ICAM, Zero Trust, digital engineering and transformation, and enterprise AI and intelligent automation. We always seek to delight our customers, so we retain highly qualified employees and offer them meaningful work, growth opportunities, and work-life balance. What sets us apart from all other contractors is the sense of teamwork our employees feel - and the knowledge that outstanding effort is recognized and rewarded. The camaraderie we share emanates from Lunch & Learn sessions where we explore new ideas together, fun group activities ranging from escape rooms to miniature golf, and much, much more. If we've described you and your dream workplace, please apply and share in the many benefits and opportunities we offer.
Data Architect
Responsibilities and Duties
  • Serve as the lead Data Architect for enterprise geospatial data platforms, services, and analytics environments.
  • Design and maintain enterprise data architectures that support geospatial operations, spatial analytics, and mission-critical decision-making.
  • Develop data strategies, roadmaps, standards, and governance frameworks supporting organizational and customer objectives.
  • Architect and oversee the integration of structured, unstructured, and geospatial data from multiple internal and external sources.
  • Design conceptual, logical, and physical data models that support enterprise applications, reporting, analytics, and geospatial services.
  • Lead data modernization initiatives, including migration of legacy data environments to cloud-based and hybrid architectures.
  • Establish data management standards, metadata requirements, and data quality processes to ensure accuracy, integrity, and usability of enterprise data assets.
  • Collaborate with GIS specialists, engineers, developers, analysts, and program stakeholders to define data requirements and technical solutions.
  • Design and optimize data warehouses, data lakes, geospatial repositories, and enterprise reporting environments.
  • Support the architecture and implementation of geospatial databases and spatially enabled data platforms.
  • Ensure data architectures support interoperability, scalability, security, and compliance requirements.
  • Develop and maintain data flow diagrams, data dictionaries, architecture artifacts, and technical documentation.
  • Provide architectural guidance for data integration technologies, APIs, ETL/ELT processes, and data exchange solutions.
  • Support advanced analytics, business intelligence, artificial intelligence (AI), and geospatial intelligence initiatives through effective data architecture design.
  • Lead data governance and stewardship efforts to ensure consistency, accessibility, and lifecycle management of organizational data assets.
  • Evaluate emerging technologies and recommend innovative approaches to improve data management, analytics, and geospatial capabilities.
  • Support cybersecurity, privacy, and regulatory compliance initiatives affecting enterprise and geospatial data environments.
  • Conduct technical reviews and provide recommendations regarding data architecture, performance optimization, and system enhancements.
  • Develop executive briefings, technical reports, and strategic recommendations for leadership and customer stakeholders.
  • Mentor technical teams and provide subject matter expertise on enterprise data architecture and geospatial data management best practices.

Basic Qualifications
  • Master's degree in Computer Science, Information Systems, Data Science, Geospatial Science, Geographic Information Systems (GIS), Information Technology, Engineering, or a related discipline.
  • Minimum of ten (10) years of experience supporting IT programs, systems, or enterprise data management initiatives.
  • Demonstrated experience designing and implementing enterprise data architectures, data models, and data integration solutions.
  • Experience supporting data governance, metadata management, data quality, and master data management initiatives.
  • Experience designing and managing enterprise databases, data warehouses, data lakes, and analytics platforms.
  • Knowledge of relational, non-relational, and spatial database technologies.
  • Experience supporting geospatial data environments and integrating geospatial data with enterprise business systems.
  • Familiarity with cloud platforms and modern data architecture approaches in Azure, AWS, or hybrid environments.
  • Strong understanding of data security, privacy, access controls, and regulatory compliance requirements.
  • Experience supporting business intelligence, analytics, and reporting solutions.
  • Strong analytical, problem-solving, and strategic planning capabilities.
  • Excellent written, verbal, and presentation communication skills.
  • Ability to communicate complex technical concepts to executive leadership, technical teams, and non-technical stakeholders.
  • U.S. Citizen. Ability to obtain and maintain a DHS Suitability determination, Public Trust, Secret, or higher security clearance as required by the contract.

Preferred Qualifications
  • Experience supporting Department of Homeland Security (DHS), Cybersecurity and Infrastructure Security Agency (CISA), or other Federal Government geospatial programs.
  • Experience with Esri ArcGIS Enterprise, ArcGIS Online, ArcGIS Pro, ArcSDE, QGIS, or similar GIS platforms.
  • Experience designing and managing spatial databases using SQL Server, Oracle Spatial, PostgreSQL/PostGIS, or equivalent technologies.
  • Knowledge of Federal Geographic Data Committee (FGDC) standards, National Spatial Data Infrastructure (NSDI), and geospatial data-sharing frameworks.
  • Experience supporting cloud-based geospatial analytics and location intelligence solutions.
  • Familiarity with ETL/ELT tools, data integration platforms, and API-driven data exchange architectures.
  • Experience supporting big data, machine learning, artificial intelligence, or advanced analytics initiatives.
  • Knowledge of federal cybersecurity frameworks, including NIST RMF, FISMA, and Zero Trust principles.
  • Experience supporting mission-critical geospatial operations related to critical infrastructure, emergency management, public safety, or cybersecurity.
  • Relevant certifications such as Certified Data Management Professional (CDMP), AWS Certified Data Analytics, Azure Data Engineer Associate, Esri Technical Certification, PMP, GISP, or equivalent certifications.

Electrosoft is an Equal Opportunity Employer/Veterans/Disabled

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