ZipRecruiter

Log In

1

Geospatial Data Engineer Jobs in Washington (NOW HIRING)

GRVTY

Geospatial Data Scientist

Mclean, VA

There are recurring opportunities on this team for Analytic / BigData Software Developers, Full ... THE ROLE The Geospatial Data Scientist is responsible for gathering project requirements from the ...

GRVTY

Geospatial Data Scientist

Mclean, VA

There are recurring opportunities on this team for Analytic / BigData Software Developers, Full ... THE ROLE The Geospatial Data Scientist is responsible for gathering project requirements from the ...

GRVTY

Geospatial Data Scientist

Mclean, VA · On-site

There are recurring opportunities on this team for Analytic / BigData Software Developers, Full ... THE ROLE The Geospatial Data Scientist is responsible for gathering project requirements from the ...

Bridge Core (BCore)

Geospatial Programmer

Mclean, VA · On-site

Data Modeling & Databases - Experience modeling geospatial data and working with relational ... Data Engineering & Infrastructure - Scalable data pipeline development, performance optimization ...

next page

Showing results 1-20

All JobsGeospatial Data Engineer JobsGeospatial Data Engineer Jobs in Washington

Geospatial Data Engineer information

See Washington salary details

$5

$52

$102

How much do geospatial data engineer jobs pay per hour?

As of Jun 16, 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:
What job categories do people searching Geospatial Data Engineer jobs in Washington look for? The top searched job categories for Geospatial Data Engineer jobs in Washington are:
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.

Data Engineer - Mid with Security Clearance

Gateway Geospatial Group

Washington, DC

$129K - $155K/yr

Other

Posted 28 days ago

Job description

About the role The Data Engineer enables DIA's Defense Economic Analysis mission by designing, operating, and optimizing data management systems that move, normalize, and prepare structured, unstructured, and geospatial data for analysis. The role builds end-to-end pipelines and back-end data services across SQL/NoSQL environments and contributes to modernization of mission repositories and tooling to support analytic production. This position directly supports analysts and decision makers by ensuring that data is accurate, reliable, and accessible for mission use.

Responsibilities Develop and optimize ETL pipelines for diverse data sources. Manage and tune relational and non-relational databases. * Implement data validation and quality assurance processes.

Enable integration of geospatial and economic datasets for analytic workflows. Support modernization of DIA repositories and cross-domain data access. Required qualifications * Active TS/SCI clearance.

Bachelor's degree in Computer Science, Engineering, or related field OR 9+ years of relevant experience in lieu of a degree. 5-7 years of professional data engineering experience. * Proficiency with SQL, Python, and ETL frameworks.

Experience with geospatial data standards (OGC, ISO). Preferred qualifications Master's in Data Science or Engineering. * Experience with Airflow, ElasticSearch, and distributed databases.

  • Prior IC/DoD project experience.

Apply