Backend & Data Engineer
Remote Backend & Data Engineer (Buenos Aires, Argentina) joining AccelOne's U.S. client's geospatial data team, building Python backend and data-processing pipelines for large-scale imagery from drones, aircraft, and satellites. Core tools include GIS/photogrammetry libraries like GDAL, Agisoft Metashape, and Pix4D; AWS experience is a plus.
- Compensation
- Not disclosed
- Location
- Buenos Aires, Argentina
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Full time
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- 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: drones/UAVs, fixed-wing aircraft, or high-resolution satellite imagery
- Practical experience with geospatial and photogrammetry tools or libraries such as GDAL, Agisoft Metashape, Pix4D, or similar
- 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
Full description
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.