ZipRecruiter

Log In

1

Spatial Data Jobs in Chicago, IL (NOW HIRING)

Reyes Holdings

Data Scientist

Rosemont, IL

Exposure to Geo Spatial Data, Demography Data * Experience with SQL Development, Stored Procedures, Data Analysis and Data Profiling * Experience with Snowflake, Databricks, Azure ML Cloud Services ...

Reyes Holdings

Data Scientist

Rosemont, IL

Exposure to Geo Spatial Data, Demography Data * Experience with SQL Development, Stored Procedures, Data Analysis and Data Profiling * Experience with Snowflake, Databricks, Azure ML Cloud Services ...

Reyes Holdings

Data Scientist

Rosemont, IL · On-site

$99K - $124K/yr

Exposure to Geo Spatial Data, Demography Data * Experience with SQL Development, Stored Procedures, Data Analysis and Data Profiling * Experience with Snowflake, Databricks, Azure ML Cloud Services ...

Varsity Tutors

AP Human Geography Tutor

Des Plaines, IL · Remote

$18 - $40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question construction for AP Human Geography. Guides students through interpreting population pyramids ...

Varsity Tutors

AP Human Geography Tutor

Oak Lawn, IL · Remote

$18 - $40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question construction for AP Human Geography. Guides students through interpreting population pyramids ...

Varsity Tutors

AP Human Geography Tutor

Chicago, IL · Remote

$18 - $40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question construction for AP Human Geography. Guides students through interpreting population pyramids ...

Varsity Tutors

AP Human Geography Tutor

Wheaton, IL · Remote

$18 - $40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question construction for AP Human Geography. Guides students through interpreting population pyramids ...

Varsity Tutors

AP Human Geography Tutor

Skokie, IL · Remote

$18 - $40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question construction for AP Human Geography. Guides students through interpreting population pyramids ...

Varsity Tutors

AP Human Geography Tutor

Evanston, IL · Remote

$18 - $40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question construction for AP Human Geography. Guides students through interpreting population pyramids ...

Varsity Tutors

AP Human Geography Tutor

Schaumburg, IL · Remote

$18 - $40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question construction for AP Human Geography. Guides students through interpreting population pyramids ...

Varsity Tutors

AP Human Geography Tutor

Lake Forest, IL · Remote

$18 - $40/hr

Skilled at teaching geographic model application, spatial data analysis, and free-response question construction for AP Human Geography. Guides students through interpreting population pyramids ...

next page

Showing results 1-20

All JobsSpatial Data JobsSpatial Data Jobs in Chicago, IL

Spatial Data information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do spatial data jobs pay per year?

As of Jul 24, 2026, the average yearly pay for spatial data in Chicago, IL is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Spatial Data Analyst, and why are they important?

To excel as a Spatial Data Analyst, you need a strong background in geography, GIS, data analysis, and a relevant degree such as geography, environmental science, or computer science. Proficiency in GIS software (e.g., ArcGIS, QGIS), spatial databases (like PostGIS), and programming languages such as Python or R is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this field. These competencies are essential for accurately interpreting spatial data, generating actionable insights, and effectively sharing findings with stakeholders.

What are some typical challenges faced by spatial data analysts when working with large geospatial datasets?

Spatial data analysts often encounter challenges related to data quality and integration when working with large geospatial datasets. Issues such as inconsistent data formats, missing metadata, and varying spatial resolutions can complicate analysis. Additionally, managing the computational load of processing and visualizing large, complex datasets may require specialized software and robust hardware. Collaborating closely with GIS specialists, IT teams, and data engineers helps to address these challenges and ensure reliable results.

What is the difference between Spatial Data vs GIS Analyst?

AspectSpatial DataGIS Analyst
Required CredentialsGIS certifications, degrees in geography, GIS, or related fieldsGIS certifications, degrees in geography, GIS, or related fields
Work EnvironmentData collection, database management, mapping softwareData analysis, map creation, spatial problem-solving
Employer & Industry UsageUsed by GIS professionals, urban planners, environmental agenciesEmployed in government, consulting firms, environmental organizations
Search & Comparison IntentUnderstanding data types, data managementAnalyzing spatial data, creating maps, reports

Spatial Data refers to the raw geographic information used in mapping and analysis, while a GIS Analyst actively interprets, analyzes, and visualizes this data to support decision-making. Both roles require similar credentials and are integral to GIS projects, but Spatial Data is the foundational information, whereas GIS Analysts focus on applying that data to solve spatial problems.

What is spatial data?

Spatial data, also known as geospatial data, refers to information about the physical location and shape of objects on Earth. This data is usually stored as coordinates and topology and can represent features such as buildings, roads, rivers, or even entire countries. Spatial data is used in mapping, geographic information systems (GIS), urban planning, environmental studies, and various other fields to analyze locations, patterns, and relationships. It can be stored in formats like vector (points, lines, polygons) or raster (grids, images). Understanding spatial data is essential for making informed decisions based on geographic information.
What are the most commonly searched types of Spatial Data jobs in Chicago, IL? The most popular types of Spatial Data jobs in Chicago, IL are:
What are popular job titles related to Spatial Data jobs in Chicago, IL? For Spatial Data jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Spatial Data jobs in Chicago, IL look for? The top searched job categories for Spatial Data jobs in Chicago, IL are:
Spatial Data jobs near you
Infographic showing various Spatial Data job openings in Chicago, IL as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $133,627 per year, or $64.2 per hour.
Data Scientist

Data Scientist

Reyes Holdings

Rosemont, IL

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Reyes Holdings rating

7.6

Company rating: 7.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

124th of 401 rated food and drinks producers

Job description

Position Responsibilities: 

  • Apply a variety of methods including data mining, statistical analysis, predictive modeling and analysis, correlation analysis, probability analysis, and network analysis to solve business problems

  • Develop and implement machine learning models and deliver accurate and quality analyses that translate data into actionable insights to support sound business decisions

  • Use the most effective machine learning techniques to answer data science questions, define data requirements for model development, develop models, and evaluate model performance

  • Document projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics

  • Work with peers, Senior Data Scientists and Data SMEs to produce correct modeling techniques

  • Document lessons learned and process improvement techniques

  • Travel up to 30% of the time

  • Other duties as assigned 

Required Education and Experience: 

  • Bachelor’s Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization and 3 to 5 years of experience in quantitative or computational functions or High School Diploma/General Education Diploma and 6 to 8 plus years of the above experience 

Preferred Education and Experience: 

  • Master’s Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization

  • Understanding of data structures, algorithms, and distributed computing, both for data and optimization

  • Familiarity to AI, Machine Learning NLP, including new and emerging technologies in Machine Learning/Deep Learning

  • Knowledge of frameworks such as PyTorch, TensorFlow, MLflow Caffe etc.

  • Exposure to Geo Spatial Data, Demography Data 

  • Experience with SQL Development, Stored Procedures, Data Analysis and Data Profiling 

  • Experience with Snowflake, Databricks, Azure ML Cloud Services 


Benefits
At the Reyes Family of Businesses, our Total Rewards Strategy prioritizes the holistic well-being of our employees. This position offers a comprehensive benefits package that includes Medical, Dental, Vision coverage, Paid Time Off, Retirement Benefits, and complimentary Health Screenings.
Equal Opportunity Employee & Physical Demands
Reyes Holdings and its businesses are equal opportunity employers. Company policy prohibits discrimination and harassment against any applicant or employee based on race, color, religion, sex, pregnancy or pregnancy-related medical conditions, marital status, sexual orientation, gender identity or expression, age, national origin, citizenship, disability, genetic information, military or veteran status, or any other basis protected by applicable law. In addition, the Company is committed to providing reasonable accommodation to applicants and employees in accordance with applicable law. Requests for accommodation should be directed to your point of contact in the Talent Acquisition or Human Resources departments.
Background Check and Drug Screening
Offers of employment are contingent upon successful completion of a background check and drug screening.
Pay Transparency
Our compensation philosophy embraces diverse factors for fair pay decisions, valuing skills, experience, and the needs of our business. Moreover, this role may have the opportunity to participate in a discretionary incentive program, subject to program rules.Qualifications:

Required Education and Experience: 

  • Bachelor’s Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization and 3 to 5 years of experience in quantitative or computational functions or High School Diploma/General Education Diploma and 6 to 8 plus years of the above experience 

Preferred Education and Experience: 

  • Master’s Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization

  • Understanding of data structures, algorithms, and distributed computing, both for data and optimization

  • Familiarity to AI, Machine Learning NLP, including new and emerging technologies in Machine Learning/Deep Learning

  • Knowledge of frameworks such as PyTorch, TensorFlow, MLflow Caffe etc.

  • Exposure to Geo Spatial Data, Demography Data 

  • Experience with SQL Development, Stored Procedures, Data Analysis and Data Profiling 

  • Experience with Snowflake, Databricks, Azure ML Cloud Services 

Education:UNAVAILABLEEmployment Type: FULL_TIME

What Reyes Holdings employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply