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Gis Data Engineer Jobs (NOW HIRING)

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 ...

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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 ...

This is the role where engineering-grade GIS development meets utility data delivery: senior hires drive how M&C ships its analytics products, mentor the analysts who consume them, and contribute the ...

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 ...

This role provides strategic leadership across the full lifecycle of GIS data creation, validation ... Define engineering criteria for GIS data quality, ensuring accuracy sufficient for routing ...

WHAT YOU'LL NEED: Technical Skills • Python Programming: Proficiency in Python for data ... GIS Expertise: ArcGIS Pro: Comfortable with spatial analysis, mapping, and basic geoprocessing for ...

This role provides strategic leadership across the full lifecycle of GIS data creation, validation ... Define engineering criteria for GIS data quality, ensuring accuracy sufficient for routing ...

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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 7, 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.

More about Gis Data Engineer jobs
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 May 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 78% In-person, 11% Hybrid, and 11% Remote job distribution, with an average salary of $97,747 per year, or $47 per hour.

Software Engineer Smallworld and GIS EXP

ConfigUSA

Bellevue, WA • Remote

Contractor

Posted 18 days ago


Job description

Software Engineer – Smallworld (GIS)
Purpose: Customize and maintain GE Smallworld GIS (Core, PNI, GSS) used as the network model backbone for ADMS / DERMS.
Core Responsibilities
Develop and extend Smallworld Magik applications and data schemas.
Build data interfaces (FME, Python, REST APIs) between Smallworld and ADMS / DERMS / Work Management Systems.
Implement custom workflows, tracing, schematic diagrams, and QA validations.
Support upgrades (Core 5.x → 6.x, migration to GridOS GIS).
Create map services and visualizations for planning and outage operations.
Conduct QA/QC on spatial data quality, coordinate conversions, and topology integrity.
Critical Skills
Smallworld Magik, GE GIS Core 6.x, PNI, GSS modules
Java / Python / FME for integration and ETL
Oracle Spatial / PostGIS, SQL, PL/SQL
ArcGIS / ESRI interop understanding
Electrical network topology modeling, tracing, and connectivity concepts
Version management and data reconciliation workflows
Preferred Background
3–8 yrs in GE Smallworld development or GIS data engineering
Knowledge of utility network modeling and ADMS integration
Experience migrating GIS data into CIM / ADMS schemas
Cross-Functional & Soft Skills
Familiarity with GE GridOS, ADMS, DERMS, EMS, Smallworld lifecycle and DevOps tools