Backend & Data Engineer

Backend & Data Engineer – GIS / Geospatial Imagery

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 will work closely with the team's core processing systems and large-scale geospatial imagery, combining backend engineering and data processing with hands-on experience in GIS and photogrammetry and/or image processing .

The ideal candidate has strong Python skills, solid backend and data engineering experience, and practical experience working with geospatial data and imagery. Strong AWS experience is a significant plus.

Responsibilities

- Develop, maintain, and support backend and data processing systems using Python.
- Work daily with core processing systems and large-scale geospatial imagery.
- Build and maintain reliable data processing workflows and pipelines.
- Process, transform, and manage geospatial data and imagery.
- Apply hands-on GIS knowledge to support geospatial data processing and analysis.
- Work with photogrammetry and/or image-processing workflows.
- Collaborate with engineering and data team members to develop and improve processing solutions.
- Troubleshoot data-processing and backend issues and contribute to system reliability.
- Support the scalability and performance of systems handling large volumes of geospatial data.
- Contribute to the continued improvement of engineering and data-processing practices.

Requirements

- Strong professional experience in backend engineering and/or data engineering .
- Strong proficiency in Python .
- Hands-on professional experience with GIS and geospatial data .
- Experience with photogrammetry and/or image processing .
- Experience working with geospatial imagery .
- Experience developing or maintaining data-processing systems or pipelines.
- Ability to work with large-scale datasets and 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.
- Experience optimizing data pipelines or processing systems for performance and scalability.
- Previous experience working with distributed engineering teams.