ZipRecruiter

Log In

1

Geospatial Data Engineer Jobs (NOW HIRING)

Civitech

Software Engineer, Geospatial Data

Austin, TX · Remote

$90K - $120K/yr

The Software Engineer, Geospatial Data position sits on our team responsible for civic and geospatial data and reports to that team's Engineering Manager. This team focuses on: * Tools used by our ...

Civitech

Software Engineer, Geospatial Data

Austin, TX · On-site +1

$113K - $136K/yr

The Software Engineer, Geospatial Data position sits on our team responsible for civic and geospatial data and reports to that team's Engineering Manager. This team focuses on: * Tools used by our ...

Esri

As a Technical Consultant, Enterprise Data Engineer, you will design and implement scalable geospatial data platforms that support Defense and Intelligence operations. You will work directly with ...

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 ...

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 ...

next page

Showing results 1-20

All JobsGeospatial Data Engineer Jobs

Geospatial Data Engineer information

See salary details

$5

$46

$90

How much do geospatial data engineer jobs pay per hour?

As of Jul 12, 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 100% Full Time. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $96,989 per year, or $46.6 per hour.

Data Engineer - Senior with Security Clearance

Gateway Geospatial Group

Washington, DC • On-site

$119K - $162K/yr

Other

Re-posted 24 days ago

Job description

About the role The Data Engineer enables DIA's Defense Economic Analysis mission by designing, operating, and optimizing data management systems that move, normalize, and prepare structured, unstructured, and geospatial data for analysis. The role builds end-to-end pipelines and back-end data services across SQL/NoSQL environments and contributes to modernization of mission repositories and tooling to support analytic production. This position directly supports analysts and decision makers by ensuring that data is accurate, reliable, and accessible for mission use. Responsibilities * Develop and optimize ETL pipelines for diverse data sources. * Manage and tune relational and non-relational databases. * Implement data validation and quality assurance processes. * Enable integration of geospatial and economic datasets for analytic workflows. * Support modernization of DIA repositories and cross-domain data access. * Provide technical mentorship and oversight to junior engineers. Required qualifications * Active TS/SCI clearance. * Bachelor's degree in Computer Science, Engineering, or related field OR 13+ years of relevant experience in lieu of a degree. * 10+ years of professional data engineering experience. * Proficiency with SQL, Python, and ETL frameworks. * Experience with geospatial data standards (OGC, ISO). Preferred qualifications * Master's in Data Science or Engineering. * Experience with Airflow, ElasticSearch, and distributed databases. * Prior IC/DoD project leadership experience.

Apply