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Geospatial Data Engineer Jobs in Washington (NOW HIRING)

GeoYeti

Senior Geospatial Data Scientist

Reston, VA · On-site

... rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready ... Join our growing team supporting customer missions as a Senior Geospatial Data Scientist in Reston ...

GeoYeti

Senior Geospatial Data Scientist

Reston, VA · On-site

... rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready ... Join our growing team supporting customer missions as a Senior Geospatial Data Scientist in Reston ...

GRVTY

Geospatial Systems Administrator

Mclean, VA · On-site

... Data Engineers, Data Analysts, AWS Engineers, DevOps Engineers, Cloud Migration Experts, and ... What You'll be Owning GRVTY is seeking a Geospatial Systems Administrator with a TS/SCI + Poly ...

Booz Allen Hamilton

AWS Streaming Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

Required : • 5+ years of experience in software with a cloud-first development approach • 4+ years of experience with enterprise data engineering development, including geospatial data • 3+ ...

Booz Allen Hamilton

AWS Streaming Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

Required : • 5+ years of experience in software with a cloud-first development approach • 4+ years of experience with enterprise data engineering development, including geospatial data • 3+ ...

Chenega MIOS

Senior Geospatial Engineer

Vienna, VA

$104K - $144K/yr

Req ID: 40535 Summary Senior Geospatial Engineer Vienna, VA Are you ready to enhance your skills ... Support data automation, migration, and database development efforts * Coordinate tasks with ...

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How much do geospatial data engineer jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for geospatial data engineer in Washington is $52.81, according to ZipRecruiter salary data. Most workers in this role earn between $40.58 and $65.34 per hour, depending on experience, location, and employer.

What are some common challenges faced by Geospatial Data Engineers on the job?

Geospatial Data Engineers frequently encounter challenges related to integrating large and diverse spatial datasets from multiple sources, ensuring data quality, and optimizing data for efficient querying and analysis. Managing changing project requirements and staying updated with evolving geospatial technologies are also common aspects of the role. In addition, collaborating with data scientists, analysts, and GIS specialists requires clear communication to translate technical data into actionable outputs. Navigating these challenges effectively helps engineers deliver robust geospatial solutions that support business and research goals.

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

To thrive as a Geospatial Data Engineer, you need solid expertise in geospatial data processing, spatial databases, GIS concepts, and programming languages like Python or SQL, typically backed by a relevant degree in geoinformatics, computer science, or a related field. Familiarity with tools such as ArcGIS, QGIS, PostGIS, and cloud platforms, as well as certifications like GISP, are highly valued. Strong analytical thinking, attention to detail, and collaborative communication enhance performance in multidisciplinary teams. These skills are vital for accurately transforming complex spatial data into actionable insights and delivering reliable solutions in geospatial projects.

What is a Geospatial Data Engineer job?

A Geospatial Data Engineer is responsible for designing, developing, and managing systems that process and analyze spatial data. They work with geographic information systems (GIS), databases, and cloud platforms to handle large-scale geospatial datasets. Their role involves data pipeline development, spatial analysis, and optimizing geospatial data storage and retrieval. They collaborate with analysts, scientists, and developers to support location-based decision-making.

What are the most commonly searched types of Geospatial Data Engineer jobs in Washington? The most popular types of Geospatial Data Engineer jobs in Washington are:
What are popular job titles related to Geospatial Data Engineer jobs in Washington? For Geospatial Data Engineer jobs in Washington, the most frequently searched job titles are:
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What cities in Washington are hiring for Geospatial Data Engineer jobs? Cities in Washington with the most Geospatial Data Engineer job openings:
Geospatial Data Engineer jobs near you
Infographic showing various Geospatial Data Engineer job openings in Washington as of June 2026, with employment types broken down into 2% As Needed, 93% Full Time, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $109,850 per year, or $52.8 per hour.

Senior Geospatial Data Scientist

GeoYeti

Reston, VA • On-site

Full-time

Posted 13 days ago

Job description

At Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic decision support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions. 

Are you ready to lean into analytic approaches that show customers the power of both technical and methodological innovation? Join our growing team supporting customer missions as a Senior Geospatial Data Scientist in Reston, VA and remote.


  • Identify corollary datasets to compare against model outputs, especially those with which were unlikely used as part of the training set.
  • Assist in the evaluation of the effectiveness of ML models.

Required Qualifications:   

  • Active TS/SCI clearance with CI poly required to start
  • Expert level understanding of Python, including geospatial libraries like Fiona and Shapely.
  • Expert level understanding of spatial data storage formats such as ESRI GeoDatabases, shapefiles, GeoPackage, and text-based storage in spatial databases such as PostGIS.
  • Ideally an understanding of storage formats and methodologies for ML models.

BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

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