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Contract Geospatial Data Engineer Jobs (NOW HIRING)

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Data Engineer

Durham, NC · On-site

$57 - $63/hr

This long-term contract opportunity offers remote work flexibility and will focus on developing and ... Work with geospatial datasets and data formats such as NetCDF, GeoTIFF, HDF5, and other ...

SOSi

Data Layer Engineer

Doral, FL

$105K - $127K/yr

This position is contingent upon contract award** * Design and manage a modular data layer ... geospatial and structured data across containerized environments. * Develop and optimize ETL ...

SOSi

Data Layer Engineer

Doral, FL · On-site

$105K - $127K/yr

This position is contingent upon contract award** * Design and manage a modular data layer ... geospatial and structured data across containerized environments. * Develop and optimize ETL ...

SOSi

Data Layer Engineer

Doral, FL

$105K - $127K/yr

This position is contingent upon contract award** * Design and manage a modular data layer ... geospatial and structured data across containerized environments. * Develop and optimize ETL ...

SOSi

Data Layer Engineer

Doral, FL

$105K - $127K/yr

This position is contingent upon contract award** * Design and manage a modular data layer ... geospatial and structured data across containerized environments. * Develop and optimize ETL ...

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 ...

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Contract Geospatial Data Engineer information

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$5

$46

$90

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

As of Jun 21, 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 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 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 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.
More about Contract Geospatial Data Engineer jobs
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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 June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $96,989 per year, or $46.6 per hour.
Geospatial Data Scientist

Geospatial Data Scientist

Bridge Core (BCore)

Mclean, VA

Full-time

Posted 5 days ago

Job description

OverviewGeospatial Data ScientistMcLean, VATS/SCI with Poly 

At Bcore, our strength comes from how we deliver impact to the mission. Whether it's architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems engineering, software development, and operational support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions. 

Do you want to join a team that is building tailored technical solutions to modernize our government's mission and our client's business?  Do you have a desire to change how people work?  Are you interested in helping to protect our nation's cyber interests? Join our growing team supporting customer missions as a Geospatial Data Scientist in McLean, Virginia.

Responsibilities

Responsible for gathering project requirements from the customer and implementing data-driven solutions. You can expect to use Python, PostgreSQL, and AWS tools on a daily basis to establish automated ETL (Extract, Transform, Load) pipelines, implement geospatially focused analytics, and create data visualizations to be shared with a wide range of audiences.  In addition to these core functions, the Data Scientist helps to ensure that the project's data architecture is scalable, maintains high data quality/integrity, and is streamlined to maximize performance. 

Qualifications

Required Qualifications:   

  • Senior Labor Category: Minimum 8 years of experience with a Bachelor's degree; 7 years of experience with a Master's degree; or 6 years of experience with a Doctorate degree
  • Python experience to automate data transformation and analysis of geospatial datasets
  • Experience working with PostgreSQL to extract data from RDBMS
  • Experience with AWS tools
  • Linux experience
  • Experience with API Connections
  • Comfortable working with all types of geospatial datasets in thick client applications (e.g. ArcGIS)
  • Active/current TS/SCI with required polygraph
  • Willingness to work onsite full time

Desired Qualifications

  • Experience working with R, Tableau
  • Experience working with NiFi
What you can expect from us

BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

Employment Type: FULL_TIME

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