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Backend & Data Engineer

Remote (Argentina)Remote (region-locked)Individual contributorFound yesterday
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pythongisgdalphotogrammetryawsdata processing

Backend & Data Engineer – GIS / Photogrammetry

Remote | Full-time

About the Project

Our client is a U.S.-based technology company working with large-scale geospatial data and imagery.

We are looking for an experienced Backend & Data Engineer to join their data team, with an expected start as soon as possible.

This role combines software engineering, backend development, and data processing with specialized hands-on experience in GIS, photogrammetry, and geospatial imagery processing.

The engineer will work daily with core processing systems and large-scale imagery captured from drones (UAVs), fixed-wing aircraft, and/or high-resolution satellite sources.

The ideal candidate has strong Python skills and proven hands-on experience processing geospatial imagery using relevant tools and libraries such as GDAL, Agisoft Metashape, Pix4D, or similar technologies.

Strong AWS experience is a significant plus.

Responsibilities

  • Develop, maintain, and support backend and data-processing systems using Python.
  • Work with core processing systems and large-scale geospatial imagery.
  • Process imagery captured from drones/UAVs, fixed-wing aircraft, and/or high-resolution satellites.
  • Build and maintain reliable data-processing workflows and pipelines.
  • Apply hands-on GIS and photogrammetry expertise to geospatial imagery-processing workflows.
  • Work with geospatial processing tools and libraries such as GDAL, Agisoft Metashape, Pix4D, or similar technologies.
  • Process, transform, and manage large volumes of geospatial data and imagery.
  • Collaborate with engineering and data team members to develop and improve processing solutions.
  • Troubleshoot backend, data-processing, and imagery-processing issues.
  • Support the scalability, reliability, and performance of systems handling large-scale geospatial data.
  • Contribute to the continued improvement of engineering and data-processing practices.

Requirements

  • Strong professional experience in software engineering, backend engineering, and/or data engineering.

  • Strong proficiency in Python.

  • Hands-on professional experience with GIS and geospatial data processing.

  • Hands-on experience with photogrammetry and imagery processing.

  • Proven experience processing imagery from at least one of the following sources:

  • Drones / UAVs

  • Fixed-wing aircraft

  • High-resolution satellite imagery

  • Practical experience with geospatial and photogrammetry tools or libraries such as GDAL, Agisoft Metashape, Pix4D, or similar technologies.

  • Experience developing or maintaining data-processing systems, workflows, or pipelines.

  • Ability to work with large-scale datasets and imagery-processing workflows.

  • Strong analytical and problem-solving skills.

  • Ability to work effectively within a collaborative engineering environment.

  • Availability to join the project as soon as possible.

Nice to Have

  • Strong hands-on experience with AWS.

  • Experience building or supporting cloud-based data-processing systems.

  • Experience working with large-scale geospatial imagery-processing environments.

  • Experience optimizing data pipelines or processing systems for performance and scalability.

  • Previous experience working with distributed engineering teams.

Originally posted on Himalayas

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