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Contract Geospatial Data Engineer Jobs (NOW HIRING)

Chenega MIOS

Mid Geospatial Engineer

Vienna, VA

Req ID: 40536 Summary Mid Geospatial Engineer Vienna, VA Are you ready to enhance your skills and ... Support data automation, migration, and database development efforts * Coordinate tasks with ...

The World Bank Group

Data Engineer - req36741

Washington, DC · On-site

$129.20K - $155.10K/yr

They are seeking a Data Engineer to lead the design and implementation of the Data360 data production and dissemination system, ensuring robust processes for managing statistical and geospatial data.

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

As of Jun 1, 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, and why are they important?

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 are Contract Geospatial Data Engineers?

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 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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Contract Geospatial Data Engineer jobs near you
Infographic showing various Contract Geospatial Data Engineer job openings in the United States as of May 2026, with employment types broken down into 82% Full Time, 10% Part Time, and 8% Contract. Highlights an 83% Physical, and 17% Remote job distribution, with an average salary of $96,989 per year, or $46.6 per hour.

Senior Data Engineer with Security Clearance

Gateway Geospatial Group

Saint Louis, MO

$103K - $140K/yr

Other

Posted 5 days ago

Job description

About the role Lead the design and implementation of the intelligent data fabric that transforms geospatial datasets into AI-enabled, discoverable resources. This role will architect the ETL pipelines, metadata enrichment systems, and graph database implementations that serve both human analysts and autonomous AI systems. Responsibilities Lead data lake structure development with SQL and ElasticSearch integration Design and implement Apache Airflow ETL pipelines for diverse geospatial data sources Develop AI-powered metadata enrichment using NLP and semantic analysis Architect knowledge graph construction systems for anomaly detection and pattern discovery Implement comprehensive structured logging in JSON format for AI training datasets Design ontology-driven graph database population strategies Lead spatiotemporal analytics and activity-based intelligence tool development Ensure data quality monitoring and automated validation throughout ingestion processes Required qualifications TS/SCI Clearance 10+ years experience in data engineering and ETL pipeline development Expertise with graph databases (Neo4j, Amazon Neptune) and ontology modeling Advanced knowledge of ElasticSearch, PostGIS, and distributed SQL systems Experience with Apache Airflow orchestration and workflow management Proficiency in Python, SQL, and data processing frameworks Experience with geospatial data formats and standards (OGC, ISO) Knowledge of metadata management and controlled vocabularies Preferred qualifications 15+ years experience with publications and patents in data engineering Experience with AI/ML classification systems and automated processes Background in geospatial intelligence and NGA mission requirements Experience with FAISS vector databases and semantic similarity matching * Knowledge of ICD 503 compliance and security audit trail requirements

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