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Contract Geospatial Data Engineer Jobs (NOW HIRING)

Senior Geospatial Data Engineer

Mclean, VA ยท On-site

$116K - $139K/yr

The Senior Geospatial Data Engineer will build mission-critical geospatial data and analytics capabilities, using Python to process and analyze large datasets while managing geospatial information in ...

Senior Geospatial Data Engineer

Mclean, VA ยท 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

$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 - Vantor

Mclean, VA ยท 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 ...

Data Layer Engineer

Tampa, FL ยท On-site

$108K - $129K/yr

The position requires working with ESRI geospatial data layers, ArcGIS Enterprise, and cloud-based geospatial services. * Engineers will implement data governance frameworks and metadata/data ...

... 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 ...

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Contract Geospatial Data Engineer information

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$5

$46

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How much do contract geospatial data engineer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for contract 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 a contract geospatial data engineer?

Contract Geospatial Data Engineers are professionals who specialize in managing, analyzing, and visualizing spatial data on a temporary or project-based contract. They use geographic information systems (GIS), remote sensing, and data engineering tools to process location-based data for various industries such as urban planning, environmental science, or logistics. Unlike full-time employees, contract engineers typically work for a set duration or on specific projects, offering flexibility to employers and a variety of work for the engineer. Their expertise helps organizations make data-driven decisions based on spatial analysis.

What are the key skills and qualifications needed to thrive as a contract geospatial data engineer?

To thrive as a Contract Geospatial Data Engineer, you need expertise in GIS principles, spatial analysis, data modeling, and proficiency with languages like Python or SQL, typically supported by a degree in geography, computer science, or a related field. Familiarity with technologies such as ESRI ArcGIS, QGIS, remote sensing platforms, and cloud-based geospatial systems, as well as certifications like GISP, is often required. Strong problem-solving, attention to detail, and effective communication skills help you interpret complex data and collaborate across project teams. These skills ensure accurate, efficient handling of geospatial data crucial for informed decision-making in diverse industries.

What are some common challenges faced by contract geospatial data engineers when working with diverse datasets from multiple sources?

Contract Geospatial Data Engineers often encounter challenges related to data integration and quality control, as datasets can come in various formats, projections, and levels of accuracy. Ensuring compatibility and consistency across sources requires strong attention to detail and proficiency with geospatial tools such as GIS software and scripting languages. Additionally, contractors must quickly adapt to the unique workflows and expectations of different clients or teams, making effective communication and project management skills essential. These challenges are balanced by the opportunity to work on a variety of projects and expand expertise in different geospatial domains.

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

AspectContract Geospatial Data EngineerGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; experience with GIS software and programmingBachelor's in Geography, GIS, or related field; proficiency in GIS tools
Work EnvironmentProject-based, technical, often remote or on-siteOffice or fieldwork, data analysis, map creation
Employer & Industry UsageTech firms, government agencies, environmental companiesUrban planning, environmental agencies, consulting firms

The Contract Geospatial Data Engineer focuses on building and maintaining GIS data systems, often requiring programming skills, while a GIS Analyst primarily analyzes spatial data and creates maps. Both roles are essential in GIS projects but differ in technical depth and responsibilities.

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Infographic showing various Contract Geospatial Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $96,989 per year, or $46.6 per hour.

Senior Geospatial Data Engineer

CACI International, Inc.

Denver, CO โ€ข On-site

$189K/yr

Full-time

Medical, Retirement, PTO

Re-posted 13 days ago


Job description

Job Title: Senior Geospatial Data Engineer
Job Category: Engineering
Time Type: Full time
Minimum Clearance Required to Start: TS/SCI
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Continental US
Anticipated Posting End: 1/1/2027
The Opportunity:
CACI's AGIS Release Train delivers the geospatial data infrastructure and analytical capabilities that NGA analysts rely on every day to drive intelligence decisions. Our team operates at the intersection of cutting-edge open-source geospatial technology and mission-critical intelligence workflows - building the pipelines, visualization tools, and analytical environments that transform raw geospatial data into decision advantage.
As a Senior Geospatial Data Engineer, you will lead pipeline development, tool integration, and visualization capability delivery across a FOSS4G-centric stack. You will work directly with NGA mission users and AGIS delivery teams to shape how intelligence professionals interact with geospatial data - from ingest all the way to analyst-facing visualization.
Responsibilities:
Design and deliver end-to-end geospatial data pipelines from ingest through analyst-facing visualization, leveraging GDAL/OGR-based transformation and processing across diverse data formats
Develop and maintain Python-based analytical environments via Jupyter Notebooks tailored to NGA mission user workflows
Manage GeoParquet datasets within the program's data lake architecture; implement and extend columnar format pipelines for production use
Administer ArcGIS Server services and portal configurations; integrate with the FOSS4G toolchain including QGIS, GeoServer, and MapServer
Collaborate with the AGIS Search team on spatial data indexing and AI-assisted retrieval integration
Lead technical refinement sessions and provide PI Planning input on data engineering epics and cross-team dependencies
Qualifications:
Required:
Active TS/SCI clearance
8+ years of software or data engineering experience, with at least 5 years in geospatial domains
Proficiency in the Python geospatial stack: GDAL, Fiona, Shapely, GeoPandas, Rasterio
Strong Jupyter Notebook development experience for analytical and mission workflows
Working knowledge of the FOSS4G ecosystem (QGIS, GeoServer, MapServer, GRASS)
GeoParquet/columnar format experience in production environments
ArcGIS Server and ArcGIS Enterprise administration
B.S. in Geography, GIS, Computer Science, or related field (equivalent experience accepted)
Desired:
Familiarity with OGC service standards (WMS, WFS, WCS)
Experience operating within SAFe or Agile delivery frameworks
CI Poly clearance

What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$90,300 - 189,600 USD
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.