Hiring: GIS Data Administrator Company: Fervo Energy Location: Salt Lake City, UT Job Posted Time: 2026-09-16 17:09:28 Employment Type: Full-time / Hybrid Target Skills & Keywords : AutoCAD, CAD, Data Pipeline, ETL, Pandas, PostgreSQL, Python, SQL Server About the job Experience: •4+ years of professional experience in GIS data management, geodatabase administration, or spatial data engineering. Required Skills: •The GIS Data Administrator works closely with the GIS Developer and GIS team to ensure that data is accurate, well-organized, and reliably accessible across the organization. •Design, build, and administer Fervo's enterprise geodatabase environment (ArcGIS Enterprise/Portal and ArcGIS Online), including schema design, version management, replica management, and database maintenance. •Define and enforce geodatabase data models, feature class schemas, relationship classes, domains, and topology rules in alignment with project and regulatory requirements. •Manage geodatabase versioning workflows to support concurrent editing by GIS analysts, developers, and field data collection systems. •Monitor geodatabase performance, conduct routine maintenance (compress, rebuild indexes, analyze), and plan for storage and capacity needs. •Administer back-end spatial database infrastructure (PostgreSQL/PostGIS or SQL Server Spatial) in coordination with IT. •Develop and maintain ETL (extract, transform, load) pipelines to ingest, validate, and publish spatial and tabular data from land, engineering, permitting, and operational sources into the enterprise geodatabase. •Build automated data update workflows using Python (ArcPy, arcgis module, pandas) and FME or similar integration tools. Qualifications: •Bachelor's degree in GIS, Geography, Information Systems, Computer Science, or a related field; or equivalent professional experience. •Expert proficiency in ArcGIS Pro and ArcGIS Enterprise/Portal geodatabase administration. •Applied hands-on capability in enterprise relational spatial databases (PostgreSQL/PostGIS or SQL Server Spatial). •Demonstrated experience building and maintaining automated spatial data pipelines using Python. •In-depth knowledge of GIS data quality principles, metadata standards, and spatial data governance practices. •Operational familiarity with FME (Feature Manipulation Engine) or similar ETL platforms a plus. •Background in energy, natural resources, environmental consulting, or land development preferred. •Strong organizational and documentation skills; able to manage a complex data environment with disciplined structure. •Collaborative with a track record of working effectively with technical and non-technical stakeholders to define and meet data needs. •Self-directed with the ability to manage competing priorities in a fast-paced, multi-project environment. Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!