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Geospatial Data Engineer Jobs (NOW HIRING)

VRK IT Vision Inc

GeoSpatial Developer

Mount Laurel, NJ · On-site

... data processing capabilities. · Collaborate with cross-functional teams to integrate geospatial ... developers in geospatial technologies and programming practices. · Stay updated with the latest ...

Urban SDK

Data Engineer

$117K - $140K/yr

About the role We are looking for a skilled Data Engineer to design, build, and maintain scalable ... Manage large-scale geospatial and temporal datasets stored in AWS S3. * Collaborate with data ...

Corner Alliance

Geospatial Developer

Washington, DC · On-site

You will work closely with engineering, data, and program teams to ensure geospatial data and applications are reliable, accessible, and capable of supporting large-scale operational and strategic ...

Corner Alliance

Geospatial Developer

Washington, DC · On-site

You will work closely with engineering, data, and program teams to ensure geospatial data and applications are reliable, accessible, and capable of supporting large-scale operational and strategic ...

Meridian Systematics

Be Seen First

Geospatial Systems Engineer

Springfield, VA · Remote

Design and implement advanced geospatial data pipelines including acquisition, processing, and ... Mentor junior and mid-level developers, promoting knowledge sharing and continuous learning. Stay ...

Meridian Systematics

Be Seen First

Geospatial Systems Engineer

Springfield, VA · Remote

Design and implement advanced geospatial data pipelines including acquisition, processing, and ... Mentor junior and mid-level developers, promoting knowledge sharing and continuous learning. Stay ...

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Geospatial Data Engineer information

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$5

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How much do geospatial data engineer jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for geospatial data engineer in the United States is $46.63, according to ZipRecruiter salary data. Most workers in this role earn between $35.82 and $57.69 per hour, depending on experience, location, and employer.

What are some common challenges faced by Geospatial Data Engineers on the job?

Geospatial Data Engineers frequently encounter challenges related to integrating large and diverse spatial datasets from multiple sources, ensuring data quality, and optimizing data for efficient querying and analysis. Managing changing project requirements and staying updated with evolving geospatial technologies are also common aspects of the role. In addition, collaborating with data scientists, analysts, and GIS specialists requires clear communication to translate technical data into actionable outputs. Navigating these challenges effectively helps engineers deliver robust geospatial solutions that support business and research goals.

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

To thrive as a Geospatial Data Engineer, you need solid expertise in geospatial data processing, spatial databases, GIS concepts, and programming languages like Python or SQL, typically backed by a relevant degree in geoinformatics, computer science, or a related field. Familiarity with tools such as ArcGIS, QGIS, PostGIS, and cloud platforms, as well as certifications like GISP, are highly valued. Strong analytical thinking, attention to detail, and collaborative communication enhance performance in multidisciplinary teams. These skills are vital for accurately transforming complex spatial data into actionable insights and delivering reliable solutions in geospatial projects.

What is a Geospatial Data Engineer job?

A Geospatial Data Engineer is responsible for designing, developing, and managing systems that process and analyze spatial data. They work with geographic information systems (GIS), databases, and cloud platforms to handle large-scale geospatial datasets. Their role involves data pipeline development, spatial analysis, and optimizing geospatial data storage and retrieval. They collaborate with analysts, scientists, and developers to support location-based decision-making.

More about Geospatial Data Engineer jobs
What cities are hiring for Geospatial Data Engineer jobs? Cities with the most Geospatial Data Engineer job openings:
What are the most commonly searched types of Geospatial Data Engineer jobs? The most popular types of Geospatial Data Engineer jobs are:
What states have the most Geospatial Data Engineer jobs? States with the most job openings for Geospatial Data Engineer jobs include:
What job categories do people searching Geospatial Data Engineer jobs look for? The top searched job categories for Geospatial Data Engineer jobs are:
Geospatial Data Engineer jobs near you
Infographic showing various Geospatial Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $96,989 per year, or $46.6 per hour.

WO-003 Data Layer Engineer with Security Clearance

Endurion

Doral, FL • On-site

$109K - $131K/yr

Contractor

Re-posted 4 days ago

Job description

WO-003 Data Layer Engineer Position Summary
The Data Layer Engineer supports mission-critical objectives under the referenced work order by designing, implementing, and optimizing data transformation workflows for geospatial and non-geospatial datasets. This role manages ETL processes, data structuring, and schema management with expertise in ESRI geospatial data layers and cloud-based geospatial services. This future opportunity is contingent upon award. Job Description
• The Data Layer Engineer is responsible for designing and optimizing ETL processes, data structuring, and schema management.
• The position requires working with ESRI geospatial data layers, ArcGIS Enterprise, and cloud-based geospatial services.
• Engineers will implement data governance frameworks and metadata/data cataloging solutions.
• The role includes ensuring compliance with DoD and IC data security policies. Required Qualifications and Experience
The contractor shall provide personnel who meet one of the following requirements:
• Bachelor's degree in Data Management, Information Science, Computer Science, or a related field; or
• A minimum of five (5) years of professional experience in data governance. Candidates must have demonstrated experience in the following areas:
• Developing and managing data governance frameworks.
• Implementing metadata and data cataloging solutions.
• Ensuring compliance with DoD and IC data security policies.
• Working with tools such as Databricks Unity Catalog, Collibra, Alation, AWS Glue, or Azure Purview.
• Managing ESRI geospatial data layers and Kubernetes-hosted geospatial applications. Required Skills and Competencies
• Expertise in ETL processes, data structuring, and schema management.
• Working knowledge of PostgreSQL/PostGIS, SQL Server, NoSQL databases.
• Proficiency in cloud storage solutions (AWS S3, Azure Blob, Google Cloud Storage).
• Strong understanding of Databricks Unity Catalog, Collibra, Alation, AWS Glue, and Azure Purview.
• Ability to manage ESRI geospatial data layers and cloud-based geospatial services. Education
• Bachelor's degree in a relevant field, or an equivalent combination of education and experience.
• Certified Data Management Professional (CDMP) (Preferred, Not Required)
• DAMA Certified Data Governance Professional (DGSP) (Preferred, Not Required)
• Microsoft Certified: Azure Data Engineer Associate (Preferred, Not Required) Clearance Requirement
• An active TS/SCI security clearance is required for on-site duty location.

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