Backend & Data Engineer

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