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Junior Geospatial Data Engineer Jobs (NOW HIRING)

Lynker Corporation

Geospatial Data Analyst

Charleston, SC · On-site

$78K - $92K/yr

Work with office IT, Data Engineers (DBAs), and application developers in deploying new data ... Experience processing geospatial data in the Cloud About Lynker Lynker is a growing, employee owned ...

Onebrief, Inc

Geospatial Engineer, Battle Road

$133K - $190K/yr

This role sits at the intersection of data engineering, geospatial science, and simulation systems, owning the lifecycle of spatial data from sourcing and integration through processing, storage, and ...

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 ...

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 ...

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How much do junior geospatial data engineer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for junior geospatial data engineer in the United States is $71,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What is the difference between Junior Geospatial Data Engineer vs Geospatial Data Analyst?

AspectJunior Geospatial Data EngineerGeospatial Data Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; some certificationsBachelor's in GIS, Geography, Data Science; certifications optional
Work EnvironmentData engineering teams, GIS departments, tech firmsResearch teams, government agencies, consulting firms
Employer & Industry UsageTech companies, urban planning, environmental firmsGovernment, research institutions, private consulting

Junior Geospatial Data Engineers focus on building and maintaining geospatial data infrastructure, pipelines, and databases. In contrast, Geospatial Data Analysts interpret and analyze geospatial data to generate insights. Both roles require similar educational backgrounds but differ in daily tasks and focus areas.

More about Junior Geospatial Data Engineer jobs
What cities are hiring for Junior Geospatial Data Engineer jobs? Cities with the most Junior Geospatial Data Engineer job openings:
What are the most commonly searched types of Geospatial Data Engineer jobs? The most popular types of Geospatial Data Engineer jobs are:
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What job categories do people searching Junior Geospatial Data Engineer jobs look for? The top searched job categories for Junior Geospatial Data Engineer jobs are:
Junior Geospatial Data Engineer jobs near you
Infographic showing various Junior Geospatial Data Engineer job openings in the United States as of May 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $71,799 per year, or $34.5 per hour.

GeoSpatial Developer

VRK IT Vision Inc

Mount Laurel, NJ • On-site

Contractor

Posted 22 days ago

Job description

Job Summary:

The GeoSpatial Developer role involves designing, developing, and implementing geospatial solutions using Java, Python, Scala, and PySpark. W

Required Technical Skills:

·       Java, Python, Scala, PySpark Domain

Responsibilities:

·       Develop robust geospatial applications using Java, Python, Scala, and PySpark to enhance spatial data processing capabilities.

·        Collaborate with cross-functional teams to integrate geospatial solutions into existing systems and workflows.

·        Analyze complex geospatial datasets to derive meaningful insights and support decision-making processes.

·        Implement efficient algorithms for spatial data manipulation and visualization to improve user experience.

·       Ensure high-quality code by performing regular testing and debugging of geospatial applications.

·       Optimize geospatial data storage and retrieval processes to enhance system performance and scalability.

·        Provide technical guidance and support to junior developers in geospatial technologies and programming practices.

·        Stay updated with the latest advancements in geospatial technologies and incorporate them into project development.

·        Design and maintain geospatial databases to ensure data integrity and accessibility.

·        Collaborate with stakeholders to understand project requirements and deliver tailored geospatial solutions.

·       Document technical specifications and project progress to ensure transparency and effective communication.

·       Contribute to the development of innovative geospatial tools that address real-world challenges and improve societal outcomes.

·        Participate in code reviews and provide constructive feedback to enhance team productivity and code quality.

Qualifications:

·       Demonstrate proficiency in Java, Python, Scala, and PySpark for geospatial application development.

·        Possess strong analytical skills to interpret complex geospatial data and derive actionable insights.

·        Exhibit experience in designing and implementing geospatial databases for efficient data management.

·        Show ability to collaborate effectively with cross-functional teams to deliver integrated solutions.

·        Display knowledge of geospatial algorithms and visualization techniques to enhance user experience.

·        Have experience in optimizing data storage and retrieval processes for improved system performance.

·        Demonstrate capability to provide technical guidance and mentorship to junior developers.

·        Stay informed about advancements in geospatial technologies and apply them to project development.