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Geospatial Data Analyst Jobs in Virginia (NOW HIRING)

GRVTY

Geospatial Data Scientist

Mclean, VA

Our team integrates hundreds of data sources into a Geospatial Data Analysis platform used throughout the Intelligence Community. Their tool and dataset is widely-recognized as the leading platform ...

GRVTY

Geospatial Data Scientist

Mclean, VA · On-site

Top government officials use analysis from this platform to make daily decisions that have global impact. The platform is constructed of 3rd party tools and custom applications, and new data sources ...

GRVTY

Geospatial Data Scientist

Mclean, VA · On-site

Top government officials use analysis from this platform to make daily decisions that have global impact. The platform is constructed of 3rd party tools and custom applications, and new data sources ...

Maxar

Geospatial Data Scientist

Mclean, VA

$113K - $188K/yr

Apply geospatial data science techniques to identify patterns, trends, and mission-relevant ... Create maps, visualizations, and analytic products for technical and non-technical audiences

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$33.7K

$81.9K

$134.8K

How much do geospatial data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for geospatial data analyst in Virginia is $81,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

What is a Geospatial Data Analyst job?

A Geospatial Data Analyst collects, processes, and interprets geographic data to identify patterns, trends, and relationships. They use Geographic Information Systems (GIS), remote sensing, and spatial analysis techniques to support decision-making in fields like urban planning, environmental management, and logistics. Their work may involve creating maps, developing models, and analyzing datasets from satellite imagery, GPS, and other sources. The role requires proficiency in GIS software, programming languages like Python or R, and strong analytical skills.

What are the key skills and qualifications needed to thrive in the Geospatial Data Analyst position, and why are they important?

To thrive as a Geospatial Data Analyst, you need a solid background in geography, spatial analysis, and data interpretation, typically supported by a degree in geography, GIS, or a related field. Experience with GIS software like ArcGIS or QGIS, database management systems, and programming languages such as Python or SQL is highly valued, along with relevant certifications like GISP. Strong analytical thinking, attention to detail, and effective communication skills are essential soft skills for conveying complex spatial data insights to diverse stakeholders. These competencies enable you to analyze and present geographic information accurately, driving impactful decision-making in sectors such as urban planning, environmental management, and logistics.

What are some typical projects or challenges a Geospatial Data Analyst might work on in this role?

Geospatial Data Analysts often work on projects such as mapping trends in urban development, optimizing transportation routes, analyzing environmental changes, or supporting emergency response planning. Common challenges include integrating large and varied datasets, ensuring data accuracy and consistency, and effectively visualizing results for non-technical audiences. On a typical day, you might collaborate with urban planners, engineers, or environmental scientists, using advanced GIS tools and spatial analytics to solve real-world problems. This role provides continuous learning opportunities as new technologies and spatial data sources emerge, making it ideal for detail-oriented and analytical professionals who enjoy tackling complex spatial questions.
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What are popular job titles related to Geospatial Data Analyst jobs in Virginia? For Geospatial Data Analyst jobs in Virginia, the most frequently searched job titles are:
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Geospatial Data Analyst jobs near you
Infographic showing various Geospatial Data Analyst job openings in Virginia as of May 2026, with employment types broken down into 69% Full Time, 17% Part Time, and 14% Contract. Highlights an 66% In-person, and 34% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.

Geospatial Data Scientist

GRVTY

Mclean, VA

Other

Posted 15 days ago

Job description

What Impact You'll Have:

Our team integrates hundreds of data sources into a Geospatial Data Analysis platform used throughout the Intelligence Community. Their tool and dataset is widely-recognized as the leading platform for geospatial analysis, touching nearly every type of mission. Top government officials use analysis from this platform to make daily decisions that have global impact. The platform is constructed of 3rd party tools and custom applications, and new data sources are constantly being added. The customer is excellent to work with, and there is a healthy mix of customer-driven requirements and team-driven ideas / innovation: engineers typically have freedom in choosing how to do things and which technologies to utilize. Customer leadership also helps drive innovation and has created a close, collaborative idea exchange between staffers and contractors. Our Team Lead has said "this is simply the best group of people I've worked with". Despite this platform being widely used, there is a huge amount of brand new work adding new capabilities and data sources, as well as migrating more and more of the subsystems to AWS. There are recurring opportunities on this team for Analytic / BigData Software Developers, Full Stack Software Engineers, Web Application Developers, Java Developers, JavaScript Developers, Python Developers, Geospatial (GIS) Developers, ETL Developers, Data Scientists, Data Engineers, Data Analysts, AWS Engineers, DevOps Engineers, Cloud Migration Experts, and Geospatial Systems Engineers. Work on this program takes place in the McLean, VA area (we cannot support remote work) and requires a TS/SCI + Poly clearance (acceptable by this customer). THE ROLE The Geospatial Data Scientist is responsible for gathering project requirements from the customer and implementing data-driven solutions. They can expect to use Python, PostgreSQL, and AWS tools on a daily basis to establish automated ETL (Extract, Transform, Load) pipelines, implement geospatially focused analytics, and create data visualizations to be shared with a wide range of audiences. In addition to these core functions, the Data Scientist helps to ensure that the project's data architecture is scalable, maintains high data quality/integrity, and is streamlined to maximize performance.

What You'll Be Owning:

GRVTY is seeking a Geospatial Data Scientist with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Mclean, VA

What You Must Have:

  • Active TS/SCI with Polygraph Clearance
  • Minimum 3 years of experience with a Bachelor's degree or 1 year of experience with a Master's degree
  • Python experience to automate data transformation and analysis of geospatial datasets
  • Experience working with PostgreSQL to extract data from RDBMS
  • Experience with AWS tools Linux experience
  • Experience with API Connections
  • Comfortable working with all types of geospatial datasets in thick client applications (e.g. ArcGIS) 

What Would Be Nice to Have:

  • Experience working with R, Tableau
  • Experience working with NiFi

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