Databricks Engineer — Geospatial / Oil & Gas

We are hiring a GIS-first Databricks App Engineer to build a map-centric Databricks app for oil & gas. GIS is the top priority. If you cannot work independently with spatial data, projections, layers, and land-grid concepts, this role is not a fit — even with strong Python. What you will build A Databricks-hosted map app (Cesium preferred) showing well locations and multiple geospatial layers Well-selection workflows that open complete well detail: surface and subsurface attributes, depth, leases, ownership, and related records Python + SQL pipelines that prepare, serve, and keep spatial datasets in sync with Databricks APIs and app logic that connect the map UI to well, lease, and ownership data Must have Hands-on GIS / geospatial delivery (ArcGIS, QGIS, PostGIS, GeoServer, Mapbox, or equivalent) — this is the primary filter Comfort with map layers, projections/CRS, spatial joins, and location-based UIs Ability to represent US land / survey / OGE concepts in an application: wells, leases, ownership, county, section, township/range or equivalent land grid Strong Python for spatial data prep, APIs/services, and app logic SQL, REST APIs, JSON, Git Minimum 2 years of relevant experience 16 years full-time education Good to have Databricks Apps, notebooks, jobs, Spark / PySpark, Delta Lake Cesium (or Mapbox GL, Leaflet, OpenLayers) Front-end / back-end: React, Node, HTML Prior well, lease, or land-grid data work in oil & gas CI/CD with Git