Remote Geospatial Data & Backend Engineer

Breezy HR; United States; Remote; USD 110,000 - 160,000; Full time

Job summary

Breezy HR is assisting a U.S.-based tech company that processes drone, aircraft, and satellite imagery to support diverse geospatial applications. The role centers on developing backend and data-processing systems in Python and building robust pipelines for large-scale imagery.

The candidate should have strong Python, backend or data-engineering experience, and GIS/geospatial data processing skills, with hands-on use of GDAL, Metashape, or Pix4D.

Qualifications

• Strong professional experience in software/backend or data engineering.
• Strong proficiency in Python.
• H hands-on GIS and geospatial data processing experience.

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.

Skills

Python

Backend engineering

Data engineering

GIS

Geospatial data processing

Tools

GDAL

Agisoft Metashape

Pix4D

Job description

Breezy HR is assisting a U.S.-based tech company that processes drone, aircraft, and satellite imagery to support diverse geospatial applications. The role centers on developing backend and data-processing systems in Python and building robust pipelines for large-scale imagery.

The candidate should have strong Python, backend or data-engineering experience, and GIS/geospatial data processing skills, with hands-on use of GDAL, Metashape, or Pix4D.