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