What are the responsibilities and job description for the Full-Stack Geospatial Data Engineer position at Jobgether?
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Full-Stack Geospatial Data Engineer in Brazil.
This is an exceptional opportunity to build cutting-edge geospatial and climate intelligence solutions that transform complex Earth observation data into actionable insights. In this role, you will work across the full technology stack, developing everything from large-scale satellite data pipelines to customer-facing applications used by organizations focused on sustainability, environmental monitoring, and climate finance. You will help shape the architecture of a rapidly evolving platform, working alongside experts in geospatial science, data engineering, and environmental research. The position offers significant ownership, technical freedom, and the chance to influence both product direction and engineering standards. Ideal for someone who enjoys solving complex technical challenges, this role combines innovation, impact, and mission-driven work in a fully remote environment.
\n- Design and build end-to-end geospatial data systems, including satellite imagery ingestion, processing pipelines, storage architecture, and API services.
- Develop and maintain scalable backend services and geospatial APIs that deliver environmental intelligence to customers and stakeholders.
- Create intuitive frontend applications and dashboards using modern web technologies to support data visualization and decision-making.
- Optimize large-scale data workflows handling massive volumes of Earth observation data while ensuring performance, reliability, and cost efficiency.
- Implement infrastructure automation, CI/CD pipelines, monitoring solutions, and cloud-native operational practices.
- Collaborate with researchers, scientists, and technical stakeholders to translate complex geospatial requirements into production-ready systems.
- Lead engineering best practices through code reviews, architectural guidance, and technical mentorship.
- Contribute to hiring efforts and help establish the long-term technical vision for the platform.
Requirements:
- Strong full-stack engineering experience with Python, TypeScript, React, Next.js, Node.js, and modern API development frameworks.
- Expertise in building and maintaining large-scale data pipelines and distributed data processing systems.
- Hands-on experience with cloud storage architectures, object stores, data orchestration platforms, and modern data formats.
- Deep knowledge of geospatial technologies, remote sensing workflows, GIS tools, and satellite imagery processing.
- Experience with cloud infrastructure, containerization, Infrastructure as Code, observability tools, and DevOps practices.
- Strong understanding of distributed systems concepts, data versioning, scalability, and system reliability.
- Ability to work independently in fast-moving environments with evolving requirements and minimal supervision.
- Excellent problem-solving, communication, and collaboration skills.
- Passion for climate technology, environmental sustainability, and mission-driven innovation.
- Experience leading engineering initiatives, machine learning systems, GPU-accelerated processing, or environmental science projects is considered a strong advantage.
Benefits:
- Competitive salary ranging from $40,000 to $110,000 annually for U.S.-based candidates, depending on experience and location.
- Flexible remote-first work environment with asynchronous collaboration practices.
- Hardware, conference, and professional learning stipend.
- Opportunity to work alongside leading academics, researchers, and industry experts.
- Significant ownership over product architecture and technical decision-making.
- Career growth opportunities including technical leadership and mentoring responsibilities.
- Exposure to cutting-edge geospatial, climate intelligence, and environmental data technologies.
- Meaningful work contributing to climate action, sustainability initiatives, and environmental impact at global scale.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Salary : $40,000 - $110,000