
Backend Engineer, Data Engineer
Posted 13 hours ago

Posted 13 hours ago
This is a fully remote position, open to applicants in Argentina.
• Design, develop, and maintain backend systems and data processing solutions utilizing Python.
• Engage daily with core processing systems and extensive geospatial imagery.
• Create and uphold dependable data processing workflows and pipelines.
• Manage, transform, and process geospatial data and imagery effectively.
• Utilize practical GIS expertise to facilitate geospatial data processing and analysis.
• Collaborate with photogrammetry and/or image-processing workflows.
• Partner with engineering and data team members to enhance processing solutions.
• Diagnose and resolve data-processing and backend issues, contributing to system reliability.
• Assist in ensuring the scalability and performance of systems that manage substantial geospatial data volumes.
• Play a role in the ongoing enhancement of engineering and data-processing methodologies.
• Extensive professional experience in backend engineering and/or data engineering.
• High level of proficiency in Python programming.
• Practical professional experience with GIS and geospatial data.
• Background in photogrammetry and/or image processing.
• Experience handling geospatial imagery.
• Proven track record in developing or maintaining data-processing systems or pipelines.
• Capability to work with large-scale datasets and processing workflows.
• Strong analytical and problem-solving abilities.
• Competence in functioning effectively within a collaborative engineering environment.
• Availability to start on the project at the earliest opportunity.
• Nice to have: Significant hands-on experience with AWS.
• Nice to have: Familiarity with building or supporting cloud-based data-processing systems.
• Nice to have: Experience in processing large-scale geospatial imagery.
• Nice to have: Experience in optimizing data pipelines or processing systems for enhanced performance and scalability.
• Nice to have: Previous experience working with distributed engineering teams.
• Competitive salary and performance-based bonuses.
• Opportunities for professional development and career growth.
• Flexible working hours and remote work options available.
• Collaborative and innovative work environment.
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