Role Overview
Jobgether is hiring a mid-level Full-Stack Geospatial Data Engineer. This is a full-time role in IN. Part of Jobgether's Frontend hiring, posted 6 days ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Resume Keywords to Include
Make sure these keywords appear in your resume to improve ATS scoring
Sign up free to auto-tailor your resume with all these keywords and get a higher ATS score
Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Full-Stack Geospatial Data Engineer in India.
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.
Accountabilities:
- 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.
#LI-CL1
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job
Frequently Asked Questions
How do I apply for the Full-Stack Geospatial Data Engineer position at Jobgether?
Use the Apply button above to submit your application directly to Jobgether. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Full-Stack Geospatial Data Engineer position at Jobgether located?
This position is based in IN. Jobgether has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Full-Stack Geospatial Data Engineer at Jobgether earn?
Jobgether has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Full-Stack Geospatial Data Engineer role at Jobgether posted?
This role was posted on June 2, 2026 (6 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
AI-powered job search
Get every job scored to your resume
Upload your resume and get jobs ranked, your resume tailored, and employee contacts found automatically.
Get Started FreeNo credit card to start
