Geospatial Data Engineer

Oakland, CA, US • Posted 6 hours ago • Updated 1 hour ago
Full Time
On-site
USD $75.00 - 81.00 per hour
Fitment

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Job Details

Skills

  • ELT
  • Workflow
  • Satellite
  • Apache Spark
  • Mathematics
  • KML
  • Cloud Computing
  • Data Modeling
  • Warehouse
  • Dimensional Modeling
  • Slowly Changing Dimensions
  • Orchestration
  • Scheduling
  • Business Analytics
  • Business Analysis
  • Computer Science
  • Geographic Information System
  • Data Engineering
  • Extract
  • Transform
  • Load
  • Geomatics
  • Geospatial Analysis
  • Amazon Web Services
  • PySpark
  • Python
  • SQL
  • Apache HTTP Server
  • Storage
  • Remote Sensing
  • CGI
  • Life Insurance
  • Recruiting
  • Artificial Intelligence
  • Privacy

Summary

IDR is seeking a Geospatial Data Engineer to join one of our top clients for a remote contract opportunity (California preferred). This role is ideal for a senior Data Engineer with deep experience building and running geospatial/raster data pipelines natively on AWS, who can also build and optimize modern ETL/data ecosystems and partner closely with technical and business stakeholders to deliver reliable data products.
Position Overview for the Geospatial Data Engineer:
  • Design, build, and maintain scalable geospatial data pipelines and ETL/ELT workflows, with strong emphasis on raster + satellite imagery processing at scale
  • Build and optimize solutions using AWS, Spark/PySpark, Python, SQL, and Apache Sedona
  • Implement efficient ingestion strategies for massive, frequently changing raster datasets (e.g., tiling, spatial pruning, predicate/spatial pushdown, partial reads, selective/incremental ingestion)
  • Perform geospatial operations at scale (e.g., raster-vector joins, sampling pixels near assets, band math such as NDVI, multi-band imagery handling)
  • Work with common spatial and raster formats including Shapefile, GeoJSON, GeoParquet, GeoPackage, KML, and raster formats such as GeoTIFF / Cloud-Optimized GeoTIFF (COG)
  • Apply best practices around data modeling and warehousing concepts (dimensional modeling, historical datasets, slowly-changing dimensions)
  • Support orchestration and scheduling using tools such as Airflow, Dagster, or equivalent
Requirements for the Geospatial Data Engineer:
  • BA/BS in Computer Science, Engineering, GIS, or a related quantitative field (or equivalent experience)
  • 5+ years of experience in data engineering / ETL ecosystems
  • Strong hands-on experience with:
    • AWS geospatial engineering (Required): building and running geospatial/raster pipelines natively on AWS
    • PySpark, Python, SQL
    • Apache Sedona
  • Strong understanding of coordinate reference systems (e.g., EPSG codes, NAD83 vs WGS84)
  • Experience with large-scale raster processing and multi-band imagery (storage/compute implications, efficient processing patterns)
  • Familiarity with remote sensing imagery cataloging/versioning (e.g., STAC or equivalent)
What's in it for you?
  • Full Benefits: Medical, Vision, Dental, and more
  • Opportunity to get in with an industry leading organization
Why IDR?
  • 25+ Years of Proven Industry Experience in 4 major markets
  • Employee Stock Ownership Program
  • Dedicated Engagement Manager committed to you and your success
  • Medical, Dental, Vision, and Life Insurance
  • ClearlyRated\'s Best of Staffing Client and Talent Award winner 12 years in a row
$75-$81/hr
#LI-REMOTE

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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: pandfeed
  • Position Id: 604523012
  • Posted 6 hours ago
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