Senior Geospatial Data Engineer for Grid Risk

Enexus Global Inc.; Oakland (CA); In loco; USD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

Enexus Global Inc. is seeking a seasoned Data, Analytics, & Insights professional to lead enterprise data pipelines and asset risk modeling for wildfire safety initiatives in Oakland, CA.

You will collaborate with data scientists and solution architects to deliver scalable data platforms and robust geospatial capabilities. You will develop end-to-end Palantir Foundry workflows, optimize spatial processing, and ensure robust integration with PSPS, LiDAR vegetation planning, and remote

Competenze

• Education: Bachelor's degree in Computer Science, Engineering, GIS, or a related quantitative field.
• Experience: 5+ years of experience in data engineering and ETL ecosystems.
• Programming and Data: Proficiency in PySpark, Python, SQL, and Apache Sedona.
• Coordinate Reference Systems: Understanding of EPSG codes and NAD83/WGS84.
• Spatial Data Formats: Knowledge of Shapefile, GeoJSON, GeoParquet, GeoPackage, KML, GeoTIFF, and COG.
• Spatial Indexing and Partitioning: Experience with spatial joins, R-trees, grid or quadtree indexing, and Sedona joins.
• Geometry Operations at Scale: Buffers, intersections, nearest-neighbor analysis, topology validation, remediation of invalid geometries.
• Orchestration: Experience with Airflow, Dagster, or equivalent.
• Data Modeling and Warehousing: Knowledge of dimensional modeling and managing large historical datasets.

Mansioni

• Data Pipeline Construction: Build high-performance, automated data pipelines in AWS/PySpark/Python to ingest large-scale asset/outage data.
• Palantir Foundry Development: Support and build automated end-to-end data workflows and transformations within Foundry.
• Distributed Spatial Processing: Implement geospatial processing with Sedona, GeoPandas, Shapely.
• Safety and Grid Integration: Integrate with systems for remote inspections, PSPS, LiDAR vegetation management, and risk modeling.
• Agile Collaboration: Participate in Agile/Scrum ceremonies and apply CI/CD and source control practices.

Conoscenze

Geospatial data processing

Big data engineering

ETL pipelines

Data orchestration

Coordinate reference systems

Spatial data formats

Formazione

Bachelor's degree in Computer Science, Engineering, GIS, or a related quantitative field

Strumenti

Palantir Foundry

Airflow

Dagster

Descrizione del lavoro

Enexus Global Inc. is seeking a seasoned Data, Analytics, & Insights professional to lead enterprise data pipelines and asset risk modeling for wildfire safety initiatives in Oakland, CA.

You will collaborate with data scientists and solution architects to deliver scalable data platforms and robust geospatial capabilities. You will develop end-to-end Palantir Foundry workflows, optimize spatial processing, and ensure robust integration with PSPS, LiDAR vegetation planning, and remote