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Gis Data Engineer Jobs (NOW HIRING)

Support the Senior GIS Developer in building and maintaining GIS data workflows using open-source tools. * Acquire, clean, transform, and load geospatial datasets to support product, engineering, and ...

Support the Senior GIS Developer in building and maintaining GIS data workflows using open-source tools. * Acquire, clean, transform, and load geospatial datasets to support product, engineering, and ...

GIS Data Analyst Tremendous opportunity for a GIS Analyst to join a stable company making big ... This is focused on the engineering side of the business! You will be able to gain experience in ...

GIS data analyst

Seattle, WA · On-site

$28 - $36/hr

Requires two years electrical engineering experience, and an Associate Degree in Electrical ... data and good with detail-orientated projects Desired Qualifications: BS in Engineering or GIS ...

Job Summary The GIS Developer will support the Office of Security by developing and maintaining GIS ... The role involves integrating GIS and non-GIS data sources to support enterprise video systems ...

The GIS developer will support the development of GIS data, integrating drawings, maps, and other data sources to locate agency security camera assets. The project aims to create a GIS- supported ...

GIS Tech 2

Naperville, IL · On-site

$28 - $31.20/hr

... engineering, operations, and business requirements. * Ensure maps and spatial data products meet ... Collaborate with GIS Analysts and project teams on GIS-related initiatives. * Support data ...

Perform routine GIS data management and mapping tasks. * Create maps and visual representations ... Experience supporting utility assets, engineering records, or infrastructure mapping.

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Gis Data Engineer information

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$32K

$97.7K

$161.5K

How much do gis data engineer jobs pay per year?

As of Jun 30, 2026, the average yearly pay for gis data engineer in the United States is $97,747.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $115,500.00 per year, depending on experience, location, and employer.

What are the typical responsibilities of a GIS Data Engineer on a project team?

As a GIS Data Engineer, your primary responsibilities often include designing, developing, and maintaining spatial databases, processing and analyzing geographic data, and integrating GIS tools into organizational workflows. You will often collaborate closely with data scientists, project managers, and other engineers to deliver spatial solutions that support decision-making and project goals. Your daily tasks might involve writing scripts for data automation, quality-checking incoming datasets, and customizing GIS applications. Being able to communicate technical GIS concepts to both technical and non-technical stakeholders is also a key part of the role. This collaborative, hands-on environment allows you to see the direct impact of your work on real-world planning, logistics, and analysis.

What are the key skills and qualifications needed to thrive in the Gis Data Engineer position, and why are they important?

To thrive as a GIS Data Engineer, you need expertise in spatial data analysis, database management, and proficiency with GIS software, often supported by a degree in geography, computer science, or a related field. Hands-on experience with tools like ArcGIS, QGIS, SQL databases, and programming languages such as Python or R is commonly required, and certifications such as GISP can be advantageous. Strong problem-solving, attention to detail, and effective communication skills help you collaborate with multidisciplinary teams and manage complex datasets. These skills are essential for developing reliable spatial solutions and ensuring the accuracy and accessibility of geographic information systems in diverse projects.

What is a GIS Data Engineer job?

A GIS Data Engineer is responsible for designing, developing, and maintaining geographic information system (GIS) databases and workflows. They gather, process, and analyze spatial data to support mapping, analytics, and decision-making. This role often requires expertise in GIS software, programming languages (such as Python or SQL), and spatial analysis techniques. GIS Data Engineers work with large datasets, optimize data storage, and ensure data accuracy and accessibility for applications in industries like urban planning, environmental science, and logistics.

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What cities are hiring for Gis Data Engineer jobs? Cities with the most Gis Data Engineer job openings:
What are the most commonly searched types of Gis Data Engineer jobs? The most popular types of Gis Data Engineer jobs are:
What states have the most Gis Data Engineer jobs? States with the most job openings for Gis Data Engineer jobs include:
What job categories do people searching Gis Data Engineer jobs look for? The top searched job categories for Gis Data Engineer jobs are:
Infographic showing various Gis Data Engineer job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $97,747 per year, or $47 per hour.
GIS Data Engineer

GIS Data Engineer

EBSCO Industries, Inc.

Birmingham, AL • On-site

Full-time

Posted 11 days ago


Key responsibilities

  • Support the Senior GIS Developer in building and maintaining GIS data workflows using open-source tools.

  • Acquire, clean, transform, and load geospatial datasets to support product, engineering, and analytics use cases.

  • Perform quality assurance checks to improve data completeness, consistency, and usability.


Job description

Job Summary:
EBSCO Industries, Inc. is headquartered in Birmingham, Alabama, and is focused on enhancing its geospatial capabilities within its product offerings. The GIS Data Engineer role is responsible for managing geospatial data workflows, ensuring data quality and reliability, and supporting product and analytics teams with geospatial datasets.
Responsibilities:
• Support the Senior GIS Developer in building and maintaining GIS data workflows using open-source tools.
• Acquire, clean, transform, and load geospatial datasets to support product, engineering, and analytics use cases.
• Execute against defined priorities and deadlines while raising risks early and communicating status clearly.
• Perform quality assurance checks to improve data completeness, consistency, and usability.
• Document data lineage, transformation methods, assumptions, and known gaps (for example, counties/states with missing data).
• Contribute to repeatable geospatial processes and help improve internal GIS standards over time.
• Support occasional off-hours on-call needs for geospatial operations.
• Participate in interviews and provide hiring feedback when requested.
Qualifications:
Required:
• 3+ years of professional GIS experience.
• Hands-on experience with QGIS, PostGIS, GDAL, Mapbox, Python, and SQL.
• Demonstrated ability to build or support cloud hosted geospatial ETL/data preparation workflows.
• Experience collaborating with cross-functional stakeholders and communicating technical details clearly.
• Strong attention to detail, time management, curiosity, and ownership mindset.
Preferred:
• 5+ years of GIS experience.
• Experience supporting geospatial needs for product teams and/or machine learning/data science initiatives.
• Familiarity with cloud computing in Microsoft Azure.
• Experience with Spatiotemporal Asset Catalogs (STAC) and cloud native geospatial formats.
Company:
Our early endeavors helped shape us; at our core we are a sales driven organization. Founded in 1944, the company is headquartered in Birmingham, USA, with a team of 1001-5000 employees. The company is currently Late Stage.