Remote Geospatial Data Engineer: Build Spatial Pipelines

BairesDev

Mexico

On-site

PHP 5,478,000 - 8,521,000

Full time

14 days+
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Benefits offered by this job

Remote work
USD or local currency compensation
Home-office setup
Flexible hours
Parental leaves & holidays
Mentorship & growth

Job summary

BairesDev is seeking a Geospatial Data Engineer to design and build automated ETL pipelines for large-scale geospatial datasets, including satellite imagery and GPS data. You will develop and optimize PostGIS-centric queries, build robust ingestion workflows for GeoParquet, and ensure data quality across diverse sources.

Collaboration with data scientists will support spatial modeling and remote sensing requirements.

Qualifications

  • 4+ years of experience in Data Engineering, GIS, or Geospatial development.
  • Proven expertise in building and maintaining data pipelines for satellite imagery, GPS, and spatial datasets.
  • Proficiency with spatial databases and storage formats, specifically PostGIS and GeoParquet.
  • Hands-on experience with spatial ETL processes and geospatial tools.
  • Advanced proficiency in English.

Responsibilities

  • Design, implement, and manage automated ETL pipelines for large-scale geospatial datasets and satellite imagery.
  • Develop and optimize spatial queries and indexing strategies using PostGIS to ensure high-performance data retrieval.
  • Build robust data ingestion workflows for formats like GeoParquet and spatial datasets.
  • Clean, validate, and standardize diverse geospatial data sources for accuracy and CRS consistency.
  • Collaborate with data scientists to support spatial modeling, visualization, and remote sensing needs.
  • Automate repetitive spatial data processing tasks using Python and orchestration tools.

Skills

Data Engineering
GIS
Geospatial development
Satellite imagery pipelines
GPS data
Python scripting
PostGIS
GeoParquet
Spatial ETL

Tools

PostGIS
GeoParquet
Python

Job description

BairesDev is seeking a Geospatial Data Engineer to design and build automated ETL pipelines for large-scale geospatial datasets, including satellite imagery and GPS data. You will develop and optimize PostGIS-centric queries, build robust ingestion workflows for GeoParquet, and ensure data quality across diverse sources.

Collaboration with data scientists will support spatial modeling and remote sensing requirements.

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