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Geospatial Data Science Intern information
See salary details
$12.02 - $14.75
7% of jobs
$17.44 is the 25th percentile. Wages below this are outliers.
$14.75 - $17.48
18% of jobs
$17.48 - $20.21
22% of jobs
The median wage is $20.64 / hr.
$20.21 - $22.95
17% of jobs
$24.59 is the 75th percentile. Wages above this are outliers.
$22.95 - $25.68
18% of jobs
$25.68 - $28.41
8% of jobs
$28.41 - $31.14
5% of jobs
$31.14 - $33.87
1% of jobs
$33.87 - $36.60
0% of jobs
$36.60 - $39.34
2% of jobs
$39.34 - $42.07
1% of jobs
$12
$22
$42
How much do geospatial data science intern jobs pay per hour?
What types of projects or tasks can a geospatial data science intern expect to work on?
As a Geospatial Data Science Intern, you may assist with tasks such as cleaning, analyzing, and visualizing geospatial datasets, creating maps and spatial models, or developing scripts to automate data processing workflows. Interns often support research projects related to urban planning, environmental analysis, logistics, or public health, depending on the industry and team focus. You'll likely work closely with a mix of data scientists, GIS analysts, and subject matter experts, gaining exposure to real-world applications of spatial data. This hands-on project work can help build your portfolio and provide valuable experience that supports future career growth in geospatial science and analytics.
What is a geospatial data science intern?
A Geospatial Data Science Intern helps analyze and interpret spatial data using GIS, statistical methods, and machine learning. They work with mapping tools, databases, and coding languages like Python or R to extract insights from geographic information. Interns may assist in data collection, visualization, and model development for applications in urban planning, environmental science, transportation, and more. This role provides hands-on experience with geospatial technologies and real-world problem-solving.
What are the key skills and qualifications needed to thrive as a geospatial data science intern?
To thrive as a Geospatial Data Science Intern, you need a background in data science, spatial analysis, and GIS concepts, ideally supported by coursework or a degree in geography, computer science, or a related field. Familiarity with tools such as ArcGIS, QGIS, Python, SQL, and data visualization platforms is commonly expected, while knowledge of remote sensing or geospatial databases is a plus. Problem-solving abilities, attention to detail, and strong communication skills help interns excel in collaborative, project-driven environments. These skills are crucial for effectively analyzing spatial data and successfully contributing to innovative geospatial solutions.

Job description
Senior Geospatial Data Engineer
TS/SCI with Polygraph Required
McLean VA
At Aperio Global, we solve complex national security challenges through data, analytics, and emerging technologies. We're seeking a Senior Geospatial Data Engineer to develop scalable geospatial solutions that transform complex datasets into actionable intelligence.
You'll leverage Python, ArcGIS Enterprise, and Tableau to automate data workflows, manage enterprise GIS content, and deliver visualization products that support mission-critical decision making.
What You'll Do
Partner with mission stakeholders to understand geospatial data, analytics, and visualization requirements.
Develop Python automation for geospatial data processing, transformation, validation, and publication.
Build, maintain, and enhance ArcGIS Enterprise/Portal content, including hosted feature layers, web maps, dashboards, and map services.
Design Tableau dashboards and visual analytics that communicate complex geospatial information.
Integrate spatial and tabular datasets into scalable analytical solutions.
Manage enterprise geospatial data, metadata, quality assurance, and lifecycle processes.
Create technical documentation and collaborate across multidisciplinary engineering and mission teams.
Required Qualifications
Active TS/SCI with Polygraph
Bachelor's degree in GIS, Geography, Computer Science, Engineering, Data Science, or related field.
Senior-level experience supporting geospatial engineering, GIS development, or data engineering.
Strong Python development experience for automation and geospatial data processing.
Hands-on experience with ArcGIS Enterprise/Portal and enterprise GIS content management.
Experience with Tableau or similar business intelligence platforms.
Working knowledge of spatial data management, geoprocessing, and PostgreSQL/PostGIS.
Strong analytical, communication, and problem-solving skills.
Preferred Skills
Experience with ArcGIS Pro, ArcPy, GeoPandas, GDAL, QGIS, Shapely, Rasterio, Elasticsearch, Kibana, PostgreSQL/PostGIS, cloud-hosted GIS environments, Amazon S3, Git, Jira, DevOps, containerization, Agile development, spatial analytics, or machine learning.
160-220k
About Aperio Global
Sourced by ZipRecruiter
Industry
Guided missile and space vehicle manufacturing
Company size
1 - 10 Employees
Headquarters location
Chantilly, VA, US
Year founded
2019