Full-Stack Geospatial Data Engineer

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

Job summary

Dclimate is seeking a Full-Stack Geospatial Data Engineer to build end-to-end data pipelines, APIs, and dashboards for climate solutions. You will work with Python, TypeScript, and cloud tooling to process satellite imagery and deliver geospatial features for climate finance customers.

You will be part of a remote-first team and mentor junior engineers while establishing best practices across projects that convert environmental data into actionable insights globally.

Qualifications

• Experience building data pipelines and APIs.
• Experience with geospatial data and satellite imagery.
• Strong Python and TypeScript programming skills.

Responsibilities

• Design and implement end-to-end data pipelines for processing satellite imagery and geospatial data.
• Develop geospatial APIs and dashboards to support climate finance customers.
• Mentor junior engineers and establish best practices within a remote-first team.

Skills

Python

Typescript

Job description

Dclimate is building EarthOS, an AI-driven climate platform, and seeks a Full-Stack Geospatial Data Engineer to develop data pipelines, APIs, and dashboards. Ideal candidates are skilled in Python and Typescript, with a passion for climate solutions.

In this role, you will architect and implement end-to-end systems for processing satellite imagery and developing geospatial APIs. You will work with a tech stack that includes Python, Typescript, and various cloud and orchestration tools to deliver features that meet the needs of climate finance customers.

As a member of a remote-first team, you'll also be responsible for mentoring junior engineers and establishing best practices. Your contributions will directly impact the ability to convert vast amounts of environmental data into actionable insights, supporting climate initiatives globally.