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Contract Geospatial Data Engineer Jobs (NOW HIRING)

Vantor

Senior Geospatial Data Engineer

Mclean, VA · 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 ...

Maxar

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 ...

Vantor

Senior Geospatial Data Engineer

Mclean, VA · 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 ...

Lynker Corporation

Geospatial Data Analyst

Charleston, SC · On-site

$78K - $92K/yr

This role is contingent upon Lynker winning the contract, and an offer will likely not be extended ... Work with office IT, Data Engineers (DBAs), and application developers in deploying new data ...

GRVTY

Geospatial Data Scientist

Mclean, VA · On-site

There are recurring opportunities on this team for Analytic / BigData Software Developers, Full ... THE ROLE The Geospatial Data Scientist is responsible for gathering project requirements from the ...

Civitech

Software Engineer, Geospatial Data

Austin, TX · Remote

$90K - $120K/yr

... existing contracts. What You Will Do * Participate with other engineers in the design ... Geospatial & Political Data This role has a particular focus on geospatial and political data, so ...

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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 Jul 12, 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.
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Contract Geospatial Data Engineer jobs near you
Geospatial Data Engineer

Geospatial Data Engineer

Corteva Agriscience

Indianapolis, IN • On-site

Full-time

Medical, Retirement, PTO

Posted 16 days ago

Job description

Position Summary
We are seeking a Geospatial Data Engineer to design, build, and scale geospatial data products that support Digital Agriculture Solutions, Crop intelligence platforms.
The ideal candidate combines expertise in remote sensing, geospatial processing, and cloud-native architectures to transform Earth observation data into scalable, production-ready analytics and machine learning solutions.
Key Responsibilities
  • Design and implement scalable geospatial processing workflows using Earth observation datasets (e.g., Sentinel, SAR etc.) to generate field/regional scale insights for digital agriculture applications.
  • Architect, develop, and deploy scalable geospatial data products and cloud-native processing solutions that integrate multiple data types with earth observational datasets to support production digital agriculture solutions.
  • Partner with data scientists, agronomists, software engineers, and product teams to operationalize geospatial insights and enable scalable solutions.
  • Provide technical leadership in geospatial engineering, remote sensing, cloud architecture, and emerging Earth observation technologies, while promoting best practices in scalability, data quality, and system design

Required Qualifications
  • Bachelor's or Master's degree in Geospatial Science, Remote Sensing, GIS, Computer Science, Data Engineering, or a related field.
  • 5+ years of experience in geospatial engineering, remote sensing, geospatial software development, or related disciplines.
  • Strong experience working with raster and vector geospatial data at scale.
  • Proficiency in Python and modern geospatial processing frameworks.
  • Experience designing cloud-based geospatial processing solutions and production workflows.
  • Strong understanding of coordinate systems, projections, raster processing, and spatial analytics.

Preferred Qualifications
  • Experience with GDAL, Rasterio, GeoPandas, Shapely, Xarray, STAC APIs, or similar geospatial tools.
  • Experience with Earth Engine, GCP, AWS, Azure, or distributed processing platforms.
  • Experience integrating remote sensing, weather, soil, and observational datasets.
  • Knowledge of agricultural analytics, crop monitoring, pest forecasting, disease modeling, or related digital agriculture applications.
  • Experience supporting machine learning workflows using geospatial features.

Success in this Role
  • Deliver scalable geospatial processing systems and high-quality satellite-derived data products.
  • Enable production digital agriculture solutions through effective integration of remote sensing, weather, soil, and observational datasets.
  • Drive innovation in geospatial analytics and remote sensing capabilities across the organization.

Benefits - How We'll Support You:
  • Numerous development opportunities offered to build your skills
  • Be part of a company with a higher purpose and contribute to making the world a better place
  • Health benefits for you and your family on your first day of employment
  • Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays
  • Excellent parental leave which includes a minimum of 16 weeks for mother and father
  • Future planning with our competitive retirement savings plan and tuition reimbursement program
  • Learn more about our total rewards package here - Corteva Benefits
  • Check out life at Corteva! www.linkedin.com/company/corteva/life

Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.
Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

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