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Geospatial Data Engineer Remote Jobs in Chicago Heights, IL

ZipRecruiter

Engineering Manager, Big Data

Chicago, IL · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

ZipRecruiter

Engineering Manager, Big Data

Chicago, IL · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

Addison Group

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI ... Collaborate with cross-functional teams, including engineering, data, and business stakeholders ...

Generac

Sales Engineer - Data Centers

Chicago, IL · On-site +1

The Sales Engineer - Data Centers works under the guidance of the Senior Director of Sales - Data ... This position will be remote/hybrid, and the ideal candidate will need to live near a major airport ...

YO AI Labs

AI Data Scientist Expert - Remote

Chicago, IL · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

hightower

Senior Data Architect

Chicago, IL · On-site +1

$150K - $175K/yr

Data Engineering & Integration * Collaborate with engineering teams to optimize physical data ... Hybrid work schedule (Monday- Thursday onsite, Fridays remote) * Free brand-new gym in the Chicago ...

YO AI Labs

AI Data Science Expert - Remote

Chicago, IL · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

1 point system

Senior Data Scientist

Chicago, IL · Remote

Requirement - Senior Data Scientist Location- Chicago, IL-Remote Contract W2 Updated JD PURPOSE ... Develop feature engineering logic using structured and unstructured claims and incident data.

1 point system

Senior Data Scientist

Chicago, IL · Remote

Job Title Senior Data Scientist Location Remote Type of Hire 4 months contract They strictly want ... Develop feature engineering logic using structured and unstructured claims and incident data.

ZipRecruiter

Senior Software Engineer, Big Data

Chicago, IL · Remote

$140K - $200K/yr

Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

ZipRecruiter

Senior Software Engineer, Big Data

Chicago, IL · Remote

$140K - $200K/yr

Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

ZipRecruiter

Senior Software Engineer, Big Data

Chicago, IL · Remote

$140K - $200K/yr

Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Remote ZipRecruiter is proud to be an equal opportunity employer and provides equal employment ...

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All JobsGeospatial Data Engineer JobsGeospatial Data Engineer Remote JobsGeospatial Data Engineer Remote Jobs in Chicago Heights, IL

Geospatial Data Engineer Remote information

See Chicago Heights, IL salary details

$43.5K

$126.8K

$173.5K

How much do geospatial data engineer remote jobs pay per year?

As of Aug 17, 2026, the average yearly pay for geospatial data engineer remote in Chicago Heights, IL is $126,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,900.00 and $134,400.00 per year, depending on experience, location, and employer.

What is a geospatial data engineer?

A Geospatial Data Engineer is a technology professional who designs, develops, and manages systems for collecting, storing, analyzing, and visualizing geospatial (location-based) data. They work with geographic information systems (GIS), spatial databases, and cloud platforms to process large datasets from sources like satellites, drones, and sensors. In a remote setting, they collaborate with teams online to build and maintain geospatial data pipelines and support decision-making for industries such as urban planning, environmental science, and logistics.

What are the typical challenges faced by remote geospatial data engineers when collaborating with distributed teams?

Remote Geospatial Data Engineers often navigate challenges such as coordinating across different time zones, ensuring data consistency, and maintaining effective communication with team members who may have varying technical backgrounds. Utilizing collaborative tools like version control systems and cloud-based platforms helps streamline workflows, but clear documentation and regular check-ins are essential to prevent misunderstandings. Building strong relationships virtually and proactively addressing technical or logistical issues can greatly enhance productivity and teamwork in a remote setting.

What are the key skills and qualifications needed to thrive as a geospatial data engineer in a remote role, and why are they important?

To thrive as a Geospatial Data Engineer (Remote), you need a strong background in GIS, geospatial analysis, and computer science, often supported by a related degree and experience with spatial databases. Proficiency with tools like Python, SQL, PostGIS, ArcGIS, and cloud platforms is typically required, along with relevant certifications such as GISP. Excellent problem-solving, communication, and self-management skills are essential for collaborating across distributed teams and delivering results independently. These skills ensure effective management of complex geospatial datasets, seamless integration of spatial data solutions, and success in a remote work environment.

What is the difference between Geospatial Data Engineer Remote vs GIS Analyst?

AspectGeospatial Data Engineer RemoteGIS 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 EnvironmentRemote, often collaborative with teams across locationsTypically office-based or hybrid; fieldwork possible
Employer & Industry UsageTech companies, government agencies, environmental firmsUrban planning, government, environmental consulting
Common Search & ComparisonOften compared for GIS and data engineering roles in remote settings

The main difference between a Geospatial Data Engineer Remote and a GIS Analyst lies in their focus and skill set. Geospatial Data Engineers primarily develop and maintain data pipelines and infrastructure, often requiring programming skills, while GIS Analysts focus on spatial data analysis and map creation. Both roles may work remotely and share similar educational backgrounds, but their daily tasks and technical expertise differ significantly.

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

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

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

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

What cities near Chicago Heights, IL are hiring for Geospatial Data Engineer Remote jobs?

Cities near Chicago Heights, IL with the most Geospatial Data Engineer Remote job openings:

Geospatial Data Engineer Remote jobs near you

Senior Google Workspace Support Engineer (Remote)

Ontrac Solutions

Chicago, IL • Remote

$80 - $100/hr

Full-time

Re-posted 23 days ago

Job description

Innovate. Create. Elevate.

At Ontrac Solutions, we partner with elite engineering organizations to build systems that operate at planetary scale.

About the Role

Ontrac Solutions is hiring a Senior Google Workspace Support Engineer for a leading Google Cloud partner. In this role, you will serve as a senior, customer-facing escalation point responsible for diagnosing complex Google Workspace issues, improving support operations, and mentoring other engineerswhile delivering an exceptional, consultative support experience.

This organization provides 24x7 global support, so comfort with rotational schedules and participation in on-call rotations is essential.

What You'll Do (Responsibilities)

Isolate, troubleshoot, and resolve customer issues to a satisfactory outcome.

Guide customers on best practices for setup/configuration to achieve desired results.

Analyze legacy practices/data and configure appropriately in new environments.

Conduct customer reviews prior to release to confirm acceptance of data/configuration.

Maintain accurate activity records and timely updates for reporting and (where applicable) billing.

Improve and contribute to knowledge articles and support processes (including ServiceNow incident management enhancements).

Manage escalations, defect/problem resolution, and ensure crisp handoffs across teams (Incident Managers, Engineers, Account Management).

Act as a trusted ambassador in customer interactions; collaborate with partners and internal workgroups.

Required Credentials (Must-Have)

Associate Google Workspace Administrator Certification (required).

ChromeOS and Okta certifications expected to be completed within the first 90 days.

Required Qualifications

5+ years supporting Google Workspace in a production support environment.

Comfortable with rotational and weekend shifts and participating in on-call.

Advanced knowledge of Google Voice, ChromeOS Management, and Device Management.

Intermediate knowledge of GCDS.

Strong incident management and ticketing discipline; experience with tools like ServiceNow and/or JIRA.

Proven ability to handle escalations and mentor teammates.

Excellent written/verbal communication with the ability to communicate effectively with executive-level stakeholders.

Strong analytical skills; ability to manage multiple workstreams in a deadline-driven environment.

Experience producing technical assets/documentation (e.g., architecture designs, technical docs).

Nice-to-Have (Helpful Qualifications)

Familiarity with CMS tools (SharePoint, Jive, Drupal, WordPress).

Familiarity with AODocs.

Scripting skills (Python, JavaScript, Google Apps Script).

Strong grasp of best practices, design patterns, and reference architectures.

Working Model, Travel, and Expectations

Environment: 24x7 global support organization with rotational schedules.

Customer-facing time: approximately 50%.

Travel: approximately 10% to customer sites, conferences, and related events.

Onboarding: first-week orientation plus structured 90-day onboarding.

How Success Is Measured

Success is defined by the breadth and quality of your contributions, your support outcomes, customer feedback at ticket close, collaboration, and the consultative polish you bring to customer interactions. Growth tracks are available across engineering and management.