AccelOne
AccelOne
AccelOne is a technology consulting company that helps organizations plan, build, and operate secure, scalable digital solutions. Its work spans AI, data, and custom software development, with experience serving real estate, fintech, healthcare and pharma, and construction and development businesses. AccelOne combines strategic guidance with software delivery and ongoing operational support, helping clients integrate new technology and improve the efficiency of their digital operations.

Backend and Data Engineer – Remote in Argentina

Build backend and data-processing systems in Python for a U.S. geospatial technology company. Work with GIS, photogrammetry, and large-scale imagery workflows.

Description

  • Develop and support Python-based backend and data-processing systems
  • Operate core processing systems that handle large-scale geospatial imagery
  • Create and maintain dependable data-processing workflows and pipelines
  • Process, transform, and manage geospatial datasets and imagery
  • Use practical GIS expertise to support geospatial data processing and analysis
  • Work with photogrammetry and image-processing workflows
  • Partner with engineering and data teams to improve processing solutions
  • Investigate backend and data-processing issues to strengthen system reliability
  • Help scale and optimize systems that handle substantial volumes of geospatial data
  • Advance engineering practices for backend and data-processing work

Requirements

  • Substantial professional experience in backend or data engineering
  • Advanced proficiency in Python
  • Professional hands-on experience with GIS and geospatial data
  • Experience with photogrammetry or image processing
  • Background working with geospatial imagery
  • Experience developing or maintaining data-processing systems or pipelines
  • Ability to handle large datasets and processing workflows
  • Strong analytical thinking and problem-solving ability
  • Effective collaboration within an engineering team
  • Availability to start the project as soon as possible
  • Preferred: extensive hands-on experience with AWS
  • Preferred: experience building or supporting cloud-based data-processing systems
  • Preferred: experience processing large-scale geospatial imagery
  • Preferred: experience improving data-pipeline or processing-system performance and scalability
  • Preferred: experience working with distributed engineering teams

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