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Remote mid-level GIS data engineer with niche Esri/FME skills yields moderate applicant competition.
Strong Esri and utility-network expectations limit transferability, though core ETL and DB skills remain reusable.
Explicit 3–6 years requirement plus mandatory ArcGIS, ArcPy, and spatial database skills make filters stringent.
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Design, develop, and maintain geospatial data pipelines and workflows for utilities domain with large datasets.
Develop and maintain Python (ArcPy) scripts to automate data processing and analysis integrated with Esri platforms.
Optimize spatial databases (PostgreSQL, Oracle) and manage geoprocessing services to support enterprise GIS and utility network models.
Bachelor’s degree in GIS, Computer Science, or related field.
3–6 years of experience in GIS data engineering involving scripting and automation.
Strong expertise in Esri technologies including ArcGIS Pro, Enterprise, and Server, and Python scripting (ArcPy).
Experience with spatial databases (PostgreSQL/PostGIS, Oracle/ArcSDE) and familiarity with utility network models preferred.
Experienced in handling large-scale geospatial datasets with data pipeline automation skills.
Proficient in integrating and managing data workflows with Esri platforms in an enterprise GIS context.
Possesses practical knowledge in utility network models and usage of FME for advanced data transformation and automation.