Backend & Data Engineer

AccelOne LLC; Buenos Aires; A distancia; ARS 135.820.000 - 211.276.000; Jornada completa

Descripción de la vacante

AccelOne is seeking a Backend & Data Engineer specialized in GIS/photogrammetry to join a remote, full-time data team. The role focuses on backend development, data processing workflows, and handling large geospatial imagery from drones, aircraft, and satellites.

Strong Python skills and hands-on GIS/photogrammetry experience are required; AWS experience is a plus. The candidate will work on processing pipelines, build scalable workflows, and collaborate with engineers and data specialists to

Formación

• Proven software/backend/data engineering experience.

Responsabilidades

• Develop, maintain, and support backend and data-processing systems using Python.

Conocimientos

Python

GIS

Data engineering

Geospatial imagery processing

Photogrammetry

AWS experience

Herramientas

GDAL

Agisoft Metashape

Pix4D

Descripción del empleo

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.