Geomatics Data Processing Engineer

Kforce has a client that is seeking a Geomatics Data Processing Engineer in Orlando, FL.

Overview:
This role supports the operation and maintenance of an established geospatial data processing pipeline, with an immediate focus on executing day-to-day data workflows ('chopping wood'). The position is best suited for a GIS Mapper or Geospatial Analyst with experience in utility, municipal, or survey environments seeking exposure to large-scale, high-volume geospatial datasets. Over time, this individual will contribute to data quality, workflow improvements, and broader geospatial processing initiatives.

Key Responsibilities:

Pipeline Operations:

* Execute and maintain existing geospatial data processing pipelines for large datasets

* Perform routine data ingestion, validation, and processing tasks to ensure continuity of operations

* Support ongoing pipeline stability during a transitional period for the team

Geospatial Data Processing & Mapping:

* Process and manage geospatial datasets including LIDAR point clouds, imagery, and mapping layers

* Conduct data clean-up, feature extraction, and basic spatial analysis

* Perform quality checks to ensure data integrity and consistency

Data Quality & Support:

* Review outputs for accuracy and completeness, escalating issues as needed

* Support calibration and alignment workflows under guidance of senior team members

* Assist with documentation of processes and data workflows

Collaboration:

* Partner with technical teams, analysts, and engineers to support data processing needs

* Communicate progress and challenges in a clear and timely manner
* 2-5 years of experience in GIS mapping, geospatial analysis, or survey-related roles

* Background in utilities, municipalities, or survey departments strongly preferred

* Experience working with structured geospatial datasets and mapping workflows

Tools & Technologies:

* Experience with GIS tools such as QGIS, Global Mapper, ArcGIS, or similar platforms

* Exposure to FME or similar data transformation tools is a plus

* Basic familiarity with Python or scripting is helpful but not required

Core Competencies:

* Strong attention to detail and ability to execute repetitive, process-driven work

* Willingness to learn and adapt to high-volume, complex datasets

* Ability to follow established workflows while identifying opportunities for improvement