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Entry Level Geospatial Data Engineer Jobs (NOW HIRING)

Senior Geospatial Data Engineer

Mclean, VA Β· On-site

$107K - $145K/yr

The ideal candidate is part geospatial programmer, part data librarian, and part visualization developer. You will use Python to process and analyze large geospatial datasets, manage and curate ...

Senior Geospatial Data Engineer

Mclean, VA Β· On-site

$137K - $200K/yr

The ideal candidate is part geospatial programmer, part data librarian, and part visualization developer. You will use Python to process and analyze large geospatial datasets, manage and curate ...

Senior Geospatial Data Engineer - Vantor

Mclean, VA Β· On-site

$117K - $141K/yr

The ideal candidate is part geospatial programmer, part data librarian, and part visualization developer. You will use Python to process and analyze large geospatial datasets, manage and curate ...

... for engineering and construction clients nationwide. Summary Blood Hound is seeking a detail ... Collaborate with the Geospatial Systems Supervisor to improve internal data pipelines and ...

... for engineering and construction clients nationwide. Summary Blood Hound is seeking a detail ... Collaborate with the Geospatial Systems Supervisor to improve internal data pipelines and ...

... for engineering and construction clients nationwide. Summary Blood Hound is seeking a detail ... Collaborate with the Geospatial Systems Supervisor to improve internal data pipelines and ...

... for engineering and construction clients nationwide. Summary Blood Hound is seeking a detail ... Collaborate with the Geospatial Systems Supervisor to improve internal data pipelines and ...

The Geospatial Engineer supports mission‑critical Intelligence Community and Department of ... Collect, analyze, validate, and manage geospatial data using GIS, remote sensing, and GPS tools

Data Engineer

Oak Ridge, TN Β· On-site

$109K - $131K/yr

The Geospatial Science & Engineering Division (GSED), of the National Security Sciences Directorate ... This position requires a strong background in image processing, data engineering, workflow ...

Data Engineer

Farragut, TN Β· On-site

$100K - $120K/yr

The Geospatial Science & Engineering Division (GSED), of the National Security Sciences Directorate (NSSD), is seeking a highly motivated Data Engineer to support the automation of image processing ...

Data Engineer

Oak Ridge, TN Β· On-site

$99K - $119K/yr

This position requires a strong background in image processing, data engineering, workflow automation, geospatial data systems, and applied analytics, along with experience working in secure mission ...

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Entry Level Geospatial Data Engineer information

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How much do entry level geospatial data engineer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for entry level 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.

What is an entry level geospatial data engineer?

Entry level geospatial data engineers are professionals who work with geographic information systems (GIS) and spatial data to collect, process, and analyze location-based information. They use programming, data management tools, and mapping software to support projects in fields such as urban planning, environmental science, and logistics. At the entry level, these engineers assist in database maintenance, data cleaning, and creating visualizations while learning industry standards and best practices.

What are the key skills and qualifications needed to thrive as an entry level geospatial data engineer, and why are they important?

To thrive as an Entry Level Geospatial Data Engineer, a solid understanding of GIS concepts, spatial data analysis, and a relevant degree in geography, computer science, or a related field is essential. Familiarity with tools like ArcGIS, QGIS, Python, and SQL, as well as experience with geospatial databases, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help individuals excel in collaborating with teams and interpreting complex data. These skills ensure accurate geospatial solutions and support critical decision-making in industries like urban planning, environmental management, and logistics.

What are some common challenges faced by entry level geospatial data engineers when working with large spatial datasets?

Entry level geospatial data engineers often encounter challenges related to the size and complexity of spatial datasets, such as slow processing times, data quality issues, and difficulties with data integration from various sources. Learning to use specialized tools like GIS software and spatial databases efficiently is crucial for handling these challenges. Collaborating with more experienced engineers and data scientists can help new hires develop best practices for data cleaning, transformation, and visualization, which are key skills in this role.

What is the difference between Entry Level Geospatial Data Engineer vs GIS Analyst?

AspectEntry Level Geospatial Data EngineerGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; some certificationsBachelor's in GIS, Geography; certifications like GISP are common
Work EnvironmentData processing, database management, scripting, software developmentMap creation, spatial analysis, data visualization, report generation
Employer & Industry UsageTech firms, government agencies, environmental companiesUrban planning, government agencies, consulting firms
Common Search & ComparisonYesYes

Entry Level Geospatial Data Engineers focus on building and managing spatial data systems, often involving programming and database skills. GIS Analysts primarily analyze and visualize spatial data to support decision-making. While both roles require GIS knowledge, Data Engineers emphasize data infrastructure, whereas Analysts focus on spatial analysis and reporting.

What are entry level geospatial data engineer job titles?

Entry level geospatial data engineer job titles often include roles such as Junior Geospatial Data Engineer, Geospatial Data Analyst, GIS Technician, or GIS Analyst. These positions typically require knowledge of GIS software, spatial databases, and data processing tools, and may involve supporting mapping projects or data management tasks.

What cities are hiring for Entry Level Geospatial Data Engineer jobs?

Cities with the most Entry Level 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:

What states have the most Entry Level Geospatial Data Engineer jobs?

States with the most job openings for Entry Level Geospatial Data Engineer jobs include:

What are popular job titles related to Entry Level Geospatial Data Engineer jobs?

For Entry Level Geospatial Data Engineer jobs, the most frequently searched job titles are:

Senior Geospatial Data Engineer

Mclean, VA β€’ On-site

$107K - $145K/yr

Full-time

Retirement

Re-posted 19 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.
Build Mission-Critical Geospatial Data and Analytics Capabilities
This role is built for a cleared geospatial technologist who can bridge two mission offices: one focused on geospatial data curation, ArcGIS Portal products, and operational visualization; the other focused on data processing, analytics, and Tableau-driven reporting.
The ideal candidate is part geospatial programmer, part data librarian, and part visualization developer. You will use Python to process and analyze large geospatial datasets, manage and curate authoritative data holdings, maintain ArcGIS Portal content, and build dashboards, web maps, feature layers, and visual analytics products that help mission users make faster, better-informed decisions.
This is a hands-on role for someone who can work independently across offices, engage directly with mission customers, and turn complex spatial and tabular datasets into trusted, discoverable, and decision-ready products.
Responsibilities:
What You'll Work On
You will support two complementary mission areas:
Geospatial Data Curation, Portal, and Visualization
Manage, curate, publish, and maintain geospatial datasets, hosted feature layers, web maps, dashboards, and data products in ArcGIS Portal. Ensure mission users have access to accurate, well-organized, current, and usable geospatial information.
Data Processing, Analytics, and Tableau Reporting
Use Python, Tableau, ArcGIS, and related tools to process large datasets, automate workflows, prepare data for analysis, and build visual analytics products that reveal patterns, trends, anomalies, and operationally relevant insights.
What You'll Do
Partner with mission users to understand geospatial data needs, analytic questions, visualization requirements, and operational workflows.
Identify, acquire, clean, transform, validate, curate, and publish large geospatial and tabular datasets from diverse sources.
Develop Python scripts and tools to automate geospatial data processing, quality control, enrichment, transformation, and publication workflows.
Manage and update ArcGIS Portal content, including hosted feature layers, map services, web maps, dashboards, data hubs, and related geospatial products.
Build and maintain Tableau dashboards, reports, and analytic visualizations used by the data processing office and mission stakeholders.
Apply sound cartographic design, symbology, labeling, layer management, metadata practices, and performance tuning to improve the usability of geospatial products.
Integrate structured, unstructured, tabular, and spatial datasets into cohesive analytical and visualization environments.
Support geospatial data library functions, including dataset organization, metadata creation, version management, quality control, discoverability, and lifecycle maintenance.
Develop documentation, data dictionaries, standard operating procedures, user guidance, and technical recommendations that support repeatable data management and visualization workflows.
Work independently across two office environments while collaborating with multidisciplinary teams and communicating technical concepts clearly to both technical and non-technical audiences.
Minimum Qualifications:
  • Active TS/SCI security clearance with polygraph.
  • Bachelor's degree in Geography, GIS, Computer Science, Data Science, Engineering, or a related technical discipline.
  • 12+ years of professional experience in geospatial technology, software development, data engineering, data analysis, or a related technical field.
  • Strong Python experience for geospatial data processing, automation, transformation, analysis, and workflow improvement.
  • Demonstrated experience working with large geospatial datasets, including cleaning, formatting, joining, enriching, validating, and preparing data for analysis or publication.
  • Hands-on experience with ArcGIS Enterprise, ArcGIS Portal, or ArcGIS Online, including publishing and maintaining hosted feature layers, web maps, dashboards, and geospatial content.
  • Experience curating geospatial data holdings, including organizing datasets, maintaining metadata, improving discoverability, and ensuring data quality.
  • Experience developing dashboards, reports, or analytic visualizations in Tableau or a comparable business intelligence platform.
  • Understanding of geospatial data formats, projections, coordinate systems, spatial joins, geoprocessing workflows, cartographic principles, and spatial data management.
  • Experience with relational databases, preferably PostgreSQL/PostGIS, for storing, querying, and managing spatial or tabular data.
  • Strong analytical, problem-solving, communication, and customer engagement skills.
  • Proven ability to work independently with minimal guidance while coordinating effectively across teams, offices, and mission stakeholders.

Preferred Qualifications:
  • Advanced Tableau experience, including dashboard development, calculated fields, filters, data preparation, publishing, and maintaining products for operational users.
  • Experience with ArcGIS Pro, ArcPy, GeoPandas, Shapely, Fiona, Rasterio, GDAL, QGIS, or similar geospatial tools and libraries.
  • Experience building repeatable data pipelines for geospatial data ingestion, processing, validation, and publication.
  • Experience with cloud-hosted datasets, Amazon S3, ArcGIS Hub-style environments, or secure integrations between enterprise data repositories and ArcGIS Portal.
  • Experience with PostgreSQL/PostGIS performance tuning, spatial indexing, and geospatial query optimization.
  • Experience with Elasticsearch, Kibana, or similar search, analytics, and visualization tools.
  • Familiarity with data governance, data stewardship, metadata standards, data quality, Agile practices, Jira, Confluence, DevOps principles, version control, or containerized workflows.
  • Background in spatial statistics, predictive analytics, machine learning, or advanced geospatial modeling.

Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate's experience, expertise, and alignment with the role.
β€’ The base pay for this position within the Washington, DC metropolitan area is: $137,000.00 - $182,000.00 - $200,200.00 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.