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Contract Geospatial Data Engineer Jobs (NOW HIRING)

Blood Hound

Geospatial Data Specialist

Zionsville, IN · On-site

$25/hr

... 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 ...

USIC

Geospatial Data Specialist

Zionsville, IN

$25/hr

... 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 ...

Esri

As a Technical Consultant, Enterprise Data Engineer, you will design and implement scalable geospatial data platforms that support Defense and Intelligence operations. You will work directly with ...

Endurion

Data Layer Engineer

Tampa, FL · 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 ...

Planet Fitness

Sr. Geospatial Data Scientist

Boston, MA · On-site

Proposes, designs, and builds scalable, production-ready geospatial solutions in collaboration with Data Engineering and Technology that become embedded in enterprise real estate and market planning ...

New

VRK IT Vision Inc

GeoSpatial Developer

Mount Laurel, NJ · On-site

... data processing capabilities. · Collaborate with cross-functional teams to integrate geospatial ... developers in geospatial technologies and programming practices. · Stay updated with the latest ...

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Contract Geospatial Data Engineer information

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

As of Aug 15, 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 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 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.

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 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.
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Contract Geospatial Data Engineer jobs near you
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, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $96,989 per year, or $46.6 per hour.

Data Engineer - Senior with Security Clearance

Gateway Geospatial Group

Washington, DC • On-site

$119K - $162K/yr

Other

Re-posted 28 days ago

Job description

About the role The Data Engineer enables DIA's Defense Economic Analysis mission by designing, operating, and optimizing data management systems that move, normalize, and prepare structured, unstructured, and geospatial data for analysis. The role builds end-to-end pipelines and back-end data services across SQL/NoSQL environments and contributes to modernization of mission repositories and tooling to support analytic production. This position directly supports analysts and decision makers by ensuring that data is accurate, reliable, and accessible for mission use. Responsibilities * Develop and optimize ETL pipelines for diverse data sources. * Manage and tune relational and non-relational databases. * Implement data validation and quality assurance processes. * Enable integration of geospatial and economic datasets for analytic workflows. * Support modernization of DIA repositories and cross-domain data access. * Provide technical mentorship and oversight to junior engineers. Required qualifications * Active TS/SCI clearance. * Bachelor's degree in Computer Science, Engineering, or related field OR 13+ years of relevant experience in lieu of a degree. * 10+ years of professional data engineering experience. * Proficiency with SQL, Python, and ETL frameworks. * Experience with geospatial data standards (OGC, ISO). Preferred qualifications * Master's in Data Science or Engineering. * Experience with Airflow, ElasticSearch, and distributed databases. * Prior IC/DoD project leadership experience.

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