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Contract Geospatial Data Engineer Jobs in Chicago, IL

SageSure

Data Scientist

Chicago, IL · On-site

In this role, you will combine geospatial analytics, statistical modeling, machine learning, and ... Experience with C#, .NET, or software engineering principles. About SageSure: Named among the Best ...

HERE Technologies

Sr. Software Engineer

Chicago, IL · On-site

$130K - $140K/yr

You are a strong systems engineer who is energized by simulation, spatial data and software that ... Experience with geospatial data, trajectories, sensor data or 3D environments. * Familiarity with ...

HERE Technologies

Sr. Software Engineer

Chicago, IL · On-site

$130K - $140K/yr

You are a strong systems engineer who is energized by simulation, spatial data and software that ... Experience with geospatial data, trajectories, sensor data or 3D environments. * Familiarity with ...

Sabanto

Full Stack Engineer (Platform)

Chicago, IL · On-site

As a Full Stack Engineer at Sabanto, you will be building the web and api platform that powers the ... Experience working with geospatial data * Experience working with Docker-based software

Sabanto

Full Stack Engineer (Platform)

Chicago, IL · On-site

As a Full Stack Engineer at Sabanto, you will be building the web and api platform that powers the ... Experience working with geospatial data * Experience working with Docker-based software

Sabanto

Robotics Engineer

Chicago, IL · On-site

As a Robotics Engineer at Sabanto, you will be building the vehicle platform that powers the ... Experience working with Geospatial data * Experience integrating Perception or Vision systems * 5+ ...

Sabanto

Robotics Engineer

Chicago, IL · On-site

As a Robotics Engineer at Sabanto, you will be building the vehicle platform that powers the ... Experience working with Geospatial data * Experience integrating Perception or Vision systems * 5+ ...

Sabanto

Robotics Engineer

Chicago, IL · On-site

As a Robotics Engineer at Sabanto, you will be building the vehicle platform that powers the ... Experience working with Geospatial data * Experience integrating Perception or Vision systems * 5+ ...

Sabanto

Senior Robotics Engineer

Chicago, IL · On-site

$107K - $147K/yr

As a Senior Robotics Engineer at Sabanto, you will be designing and building the vehicle platform ... Experience working with Geospatial data * Experience integrating Perception or Vision systems * 6+ ...

Sabanto

Senior Robotics Engineer

Chicago, IL · On-site

$107K - $147K/yr

As a Senior Robotics Engineer at Sabanto, you will be designing and building the vehicle platform ... Experience working with Geospatial data * Experience integrating Perception or Vision systems * 6+ ...

Sabanto

Senior Robotics Engineer

Chicago, IL · On-site

$107K - $147K/yr

As a Senior Robotics Engineer at Sabanto, you will be designing and building the vehicle platform ... Experience working with Geospatial data * Experience integrating Perception or Vision systems * 6+ ...

Zoro

Sr. Software Engineer, Data Products

Chicago, IL · On-site

$126K - $166K/yr

This is a software engineering role in the data domain. You will build APIs, backend services ... Design clear interfaces, service boundaries, schemas, and data contracts. * Write modular, testable ...

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All JobsContract Geospatial Data Engineer JobsContract Geospatial Data Engineer Jobs in Chicago, IL

Contract Geospatial Data Engineer information

See Chicago, IL salary details

$5

$48

$92

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

As of Sep 1, 2026, the average hourly pay for contract geospatial data engineer in Chicago, IL is $48.04, according to ZipRecruiter salary data. Most workers in this role earn between $36.88 and $59.42 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.

What are the most commonly searched types of Geospatial Data Engineer jobs in Chicago, IL?

The most popular types of Geospatial Data Engineer jobs in Chicago, IL are:

What are popular job titles related to Contract Geospatial Data Engineer jobs in Chicago, IL?

For Contract Geospatial Data Engineer jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Contract Geospatial Data Engineer jobs in Chicago, IL look for?

The top searched job categories for Contract Geospatial Data Engineer jobs in Chicago, IL are:

Contract Geospatial Data Engineer jobs near you
Infographic showing various Contract Geospatial Data Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $99,913 per year, or $48 per hour.

Data Scientist

SageSure

Chicago, IL • On-site

Full-time

Posted 22 days ago

Job description

Overview:
If you're looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup, we're hiring. SageSure, a leader in catastrophe-exposed property insurance, is seeking a Data Scientist to join our team. In this role, you will combine geospatial analytics, statistical modeling, machine learning, and software development to solve complex underwriting and risk management challenges.
You will develop scalable analytical tools, leverage spatial, property, policy and claims data, automate complex workflows, and work within a cross-functional team - including Product Development, Underwriting, Cat Modeling, Data and Risk Management - to support profitable growth.
The ideal candidate enjoys solving difficult business problems through data science, thrives working with large and complex datasets, and has experience applying technologies alongside modern analytics and AI techniques.
What you'd be doing:
  • Deliver analytical insights that support business decisions as a member of a cross-functional team - including Product Development, Underwriting, Cat Modeling, Data and Risk Management.
  • Design and develop statistical, geospatial, and machine learning models that improve underwriting performance and portfolio management.
  • Analyze spatial, exposure, catastrophe, and loss data to identify trends, concentrations of risk, and business opportunities.
  • Execute predictive analytics, machine learning, and AI models that support pricing, underwriting, and operational efficiency.
  • Apply statistical techniques including regression, clustering, classification, time series analysis, and causal inference to solve business problems.
  • Support building software applications and analytical tools that automate underwriting and risk analysis.
  • Build reusable data pipelines and automate data collection, cleansing, transformation, to support underwriting, product development and risk management.
  • Design and maintain geospatial datasets using internal and third-party data sources.
  • Develop software applications and APIs that support underwriting analytics and business decision making.
  • Mentor junior team members and promote best practices for AI use within the department.
  • Perform other duties and special projects as assigned

We are looking for someone who has:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Geographic Information Systems (GIS), Engineering, Information Science, or a related quantitative discipline.
  • 5 to 7 years of experience in data science, analytics, software development, or geospatial analytics.
  • Experience with statistical modeling techniques and building predictive models using Python, SAS or R, and strong statistical modeling techniques
  • Experience developing solutions using SQL and relational databases.
  • Experience working with large structured and unstructured datasets.
  • Experience using GIS platforms such as ESRI ArcGIS, ArcGIS Pro, ArcObjects, or equivalent geospatial technologies.
  • Experience developing automated data processing and analytical workflows.
  • Experience building software applications or analytical tools that support business operations.
  • Strong problem-solving and communication skills

Highly preferred candidates also have:
  • Experience in Property & Casualty insurance.
  • Familiarity with catastrophe models and exposure management.
  • Experience with geospatial statistics and spatial modeling.
  • Experience with AI and Generative AI technologies.
  • Experience with C#, .NET, or software engineering principles.

About SageSure:
Named among the Best Places to Work in Insurance by Business Insurance for four years in a row (2020-2023), SageSure is one of the largest managing general underwriters (MGU) focused on catastrophe-exposed property in the US. Since its founding in 2009, SageSure has experienced exceptional growth while generating underwriting profits for carrier partners through hurricanes, wildfires, and hail. Available in 16 states, SageSure offers more than 110 home, flood, and commercial products on behalf of its highly rated carrier partners. Today, SageSure manages more than $3.2 billion of inforce premium and helps protect more than 970,000 policyholders.
We have more than 1,000 employees in a distributed workforce environment across 12 offices-Fairfield, CA; Mountain View, CA; Cheshire, CT; Jacksonville, FL; Tallahassee, FL; Tampa, FL; Chicago, IL; Jersey City, NJ; Marlton, NJ; Cincinnati, OH; Houston, TX; Sheboygan, WI-who are tackling the industry's toughest challenges.
SageSure is a proud Equal Opportunity Employer committed to building a workforce that reflects the spectrum of perspectives, experiences, and abilities of the world we live in. We recognize that our differences make us strong, and we actively seek out diverse candidates through partnerships with organizations, institutions and communities that represent various backgrounds. We champion belonging and inclusion for all identities, including, but not limited to, race, ethnicity, religion, sexual orientation, age, veteran status, ability status, gender, and country of origin, striving to create a culture where all individuals feel valued, respected, and empowered to bring their authentic selves to work.
Our nimble, highly responsive culture nurtures critical thinkers who run toward problems and engineer solutions. We relentlessly pursue better outcomes by investing in the technology, talent, and tools that position us to succeed in demanding markets. Come join our team! Visit sagesure.com/careers to find a position for you.
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