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Contract Geospatial Data Engineer Jobs in Chicago, IL

Senior Data Engineer (Apache Flink)

Chicago, IL · On-site

$118K - $141K/yr

About the Role We're looking for an experienced data engineer to design, build, and operate our ... contracts * Build and optimize Apache Flink streaming jobs (Java or Scala) for real-time ...

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

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

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

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+ ...

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+ ...

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+ ...

Senior Robotics Engineer

Chicago, IL

$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+ ...

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+ ...

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+ ...

General Information

Chicago, IL · On-site

$30 - $35/hr

Description and Requirements Data Engineer- Databricks Location: Remote - CST Hours Employment Type: Full-Time Consultant Duration: Project Based Contract Through End of Year with Likely Extension ...

Lead AI Engineer

Chicago, IL · On-site

$147K - $202K/yr

Lead AI Engineer Company: Prologis Title: Lead AI Engineer Location: Denver, CO; San Francisco, CA ... Develop multimodal data pipelines that convert BIM, Autodesk, geospatial, document, and operational ...

Showing results 41-60

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 Aug 8, 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 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 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 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 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 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:
Infographic showing various Contract Geospatial Data Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $99,913 per year, or $48 per hour.

$109K - $148K/yr

Full-time

Re-posted 26 days ago


Job description

Company DescriptionPublicis Re:Sources is the backbone of Publicis Groupe, the world's most valuable agency group. We are the only full-service, end-to-end shared service organization in the industry, enabling Groupe agencies to do what they do best: innovate and transform for their clients. Formed in 1998 as a small team to service a few Publicis Groupe firms, Publicis Re:Sources has grown to 5,000+ employees in over 66 countries. We provide technology solutions and business services including finance, accounting, legal, benefits, procurement, tax, real estate, treasury and risk management. We continually transform to keep pace with our ever-changing communications industry and thrive on a spirit of innovation felt around the globe. Learn more about Publicis Re:Sources and the Publicis Groupe agencies we support at http://www.publicisresources.com/. 

The Publicis Re:Sources Guiding Principles define who we are and what we stand for. They reflect the mindset and behaviors that shape how we work, how we support one another, and how we drive progress together.

People First, Driving Success TogetherProblem Solving MindsetRespect Each OtherPartner and Collaborate as One TeamCommit to Quality and StandardsInnovate and Embrace the Future

Overview

We are seeking a skilled and detail-oriented Data Engineer to join our growing data team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support analytics, reporting, and data science initiatives. You will work closely with data analysts, data scientists, and business stakeholders to ensure data is accessible, reliable, and optimized for performance.

Responsibilities
  • Collaborate with software engineers, business stake holders and/or domain experts to translate business requirements into product features, tools, projects.
  • Develop, implement, and deploy ETL solutions.
  • Preprocess and analyze large datasets to identify patterns, trends, and insights.
  • Evaluate, validate, and optimize data models to ensure efficiency, and generalizability.
  • Monitor and maintain the performance of data pipeline, data models in production environments, identifying opportunities for improvement and update as needed.
  • Document development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement.
Qualifications
  • Bachelor's or master's degree in computer science, Engineering, or a related field.
  • Strong programming skills in languages such as Python, PySpark, SQL etc.
  • Experience in Build and optimize ETL workflows using tools/technologies such as Spark, Snowflake, Airflow and/or Azure Data factory, Glue, Redshift etc.
  • Craft and optimize complex SQL queries and stored procedures for data transformation, aggregation, and analysis.
  • Develop and maintain data models ensuring scalability and optimal performance.
  • Utilize Snowpark for data processing within the Snowflake platform.
  • Integrate Snowflake for efficient data storage and retrieval.
  • Exposure to API integrations to facilitate data workflows.
  • Experience in implementing CI-CD pipelines through DevOps platforms.
  • Good experience in cloud infrastructure such as Azure, AWS or GCP
Additional InformationAll your information will be kept confidential according to EEO guidelines. This job description in no way states or implies that these are the only duties to be performed by the employee(s) currently in this position. Employee(s) will be required to follow any other job related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. A review of this position has excluded the marginal functions of the position that are incidental to the performance of fundamental job duties. All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbent(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an ""at-will"" relations. #LI-DS1Employment Type: OTHER