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Full Time Geospatial Data Engineer Jobs (NOW HIRING)

Apply geospatial data science techniques to identify patterns, trends, and mission-relevant ... S. citizenship and Active TS/SCI with required polygraph * willingness to work on-site full time ...

... Developers, IT, Project Management Professionals, and more. At NV5 Geospatial, we are a ... Conducts complex geospatial analyses using a variety of data sources (e.g., imagery, terrain ...

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Full Time Geospatial Data Engineer information

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$5

$46

$90

How much do full time geospatial data engineer jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for full time geospatial data engineer in the United States is $46.63, according to ZipRecruiter salary data. Most workers in this role earn between $35.82 and $57.69 per hour, depending on experience, location, and employer.

How does a Full Time Geospatial Data Engineer typically collaborate with other teams within an organization?

A Full Time Geospatial Data Engineer frequently works alongside data scientists, software developers, and GIS analysts to design and implement geospatial data solutions. Collaboration often involves translating spatial data requirements into scalable data models, supporting the integration of geospatial data into larger analytics workflows, and troubleshooting data quality issues. Regular communication with cross-functional teams ensures that geospatial data products meet both technical standards and business needs. This collaborative environment not only enhances project outcomes but also provides opportunities for professional growth and exposure to diverse technologies.

What engineers make $500,000?

Highly experienced engineers in specialized fields such as software engineering, data engineering, or engineering management can earn $500,000 or more annually, especially in senior or executive roles at large technology companies. These roles often require advanced skills, certifications, and extensive industry experience.

What is the difference between Full Time Geospatial Data Engineer vs GIS Analyst?

AspectFull Time Geospatial Data EngineerGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; GIS certificationsBachelor's in Geography, GIS, or related field; GIS certifications
Work EnvironmentData development, database management, coding, cloud platformsMap creation, spatial analysis, data visualization, report generation
Employer & Industry UsageTech firms, government agencies, environmental companiesUrban planning, government agencies, environmental organizations
Common Search & ComparisonYesYes

The Full Time Geospatial Data Engineer primarily focuses on building and maintaining geospatial data infrastructure, coding, and managing large datasets. In contrast, a GIS Analyst emphasizes spatial analysis, map creation, and interpreting geographic data for decision-making. Both roles require similar credentials and are used across various industries, but their core responsibilities differ, with engineers handling data systems and analysts focusing on analysis and visualization.

What are the key skills and qualifications needed to thrive as a Full Time Geospatial Data Engineer, and why are they important?

To thrive as a Full Time Geospatial Data Engineer, you need strong expertise in GIS concepts, spatial data analysis, programming (such as Python or SQL), and a relevant degree in geography, computer science, or a related field. Proficiency with GIS software (e.g., ArcGIS, QGIS), spatial databases (like PostGIS), and cloud platforms (such as AWS or Google Cloud) is typically required, along with certifications like GISP being advantageous. Excellent problem-solving, attention to detail, and effective communication skills set top candidates apart for collaborating across teams and presenting technical findings. These skills and qualities are crucial to ensure accurate spatial data processing, reliable solutions, and effective integration of geospatial insights into business or research objectives.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, and certain engineering management roles can earn $300,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. These roles often require advanced certifications, leadership responsibilities, and expertise in areas like cloud computing, machine learning, or complex infrastructure.

What are Full Time Geospatial Data Engineers?

Full Time Geospatial Data Engineers are professionals who design, develop, and maintain systems that process and analyze geospatial data—information tied to geographic locations. They work with technologies like GIS (Geographic Information Systems), spatial databases, and programming languages to manage, transform, and visualize spatial datasets. Typically employed by organizations in fields such as environmental science, urban planning, transportation, and defense, these engineers ensure that geospatial data is accurate, accessible, and usable for decision-making. Their responsibilities often include building data pipelines, integrating various data sources, and collaborating with analysts, data scientists, and software developers.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data processing and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, maintaining, and optimizing data infrastructure, and their expertise remains critical for managing complex data systems and integrating AI tools effectively.

Is geospatial engineering in demand?

Geospatial engineering is in high demand due to the increasing reliance on geographic information systems (GIS), remote sensing, and spatial data analysis across industries such as urban planning, environmental management, and transportation. Professionals with skills in GIS software, programming, and data management are sought after, and the field is expected to grow as data-driven decision-making becomes more prevalent.
More about Full Time Geospatial Data Engineer jobs
What are the most commonly searched types of Geospatial Data Engineer jobs? The most popular types of Geospatial Data Engineer jobs are:
What states have the most Full Time Geospatial Data Engineer jobs? States with the most job openings for Full Time Geospatial Data Engineer jobs include:

Geospatial Data Scientist

Maxar

Mclean, VA

$113K - $188K/yr

Full-time

Retirement

Posted 21 days ago


Job description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

This position requires an active U.S. Government Security Clearance at the TS/SCI level with required polygraph.

Our team has an immediate need for an experienced Geospatial Data Scientist to join our team at a customer-site in McLean, VA. The candidate will support gathering project requirements from the customer and implementing data-driven solutions.

Responsibilities:

  • Use Python scripting and AWS services to automate geospatial data ingestion, transformation, and analysis
  • Apply geospatial data science techniques to identify patterns, trends, and mission-relevant insights
  • Create maps, visualizations, and analytic products for technical and non-technical audiences
  • Maintain high-quality, repeatable data workflows, ensuring data integrity, documentation, and performance

Minimum Qualifications:

  • Bachelor's degree with 3+ years of relevant experience, or Master's degree with 1+ year of relevant experience
  • Strong experience using Python for geospatial data transformation, automation, and analysis
  • Strong experience working with geospatial data in thick-client GIS software (e.g., ArcGIS)
  • Experience with PostgreSQL/PostGIS, AWS services, and Linux-based environments
  • U.S. citizenship and Active TS/SCI with required polygraph
  • willingness to work on-site full time

Preferred Qualifications:

  • Experience working with Python notebooks (e.g., Jupyter) for exploratory and reproducible analysis
  • Experience integrating and consuming data via REST APIs
  • Experience with R, Tableau, or similar analytical and visualization tools
  • Experience with Apache NiFi or comparable data workflow/orchestration tools
  • Familiarity with Git for versioning scripts and analytic artifacts

Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.

The base pay for this position within the Washington, DC metropolitan area is: $113,000.00 - $188,000.00 annually.

For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.

Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at:https://www.Vantor.com/careers

The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.

The date of posting can be found on Vantor's Career page at the top of each job posting.

To apply, submit your application via Vantor's Career page.

EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.