Careers

We are seeking a highly motivated Geospatial Data Engineer to join our team. This role offers the unique opportunity to take ownership of your work, and to collaborate closely with our Earth system and AI scientists from the ground up, bringing innovative environmental forecasting technologies directly to our customers. As the first geospatial data engineer on our team, you will play a crucial role in shaping the future of climate adaptation and informed decision-making across industries.

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About the Role

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You'll be responsible for spearheading the development and optimization of geospatial data pipelines, workflows, and systems, taking full ownership of the end-to-end process. You will work hand-in-hand with Climate and AI scientists, you will translate cutting-edge research into scalable solutions. 

 

You will design and build geospatial UI using relevant tools (such as Node.js, Mapbox, and Leaflet). Knowledge of GIS is preferable to help create intuitive and visually engaging geospatial applications.

 

You will work with AWS technologies (such as Lambda, EC2), to build and maintain scalable systems. You should be able to learn and use cloud computing tools as needed. Your role will involve ensuring smooth integration between the frontend and backend, making updates, troubleshooting, and improving performance when necessary.

 

You are excited to tackle complex problems with innovative approaches, always looking for the most effective and efficient solutions. You embrace a growth mindset in a fast-paced startup environment, where learning and adapting are part of the daily routine as you are continuously expanding your knowledge and skills in geospatial data handling, machine learning, Earth system data, Geo-UI development, and cloud integration.

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This is an extraordinary opportunity to be at the forefront of the climate tech industry, contributing directly to the development of groundbreaking technology with global impact. You will not only advance your career in data engineering but also play a significant role in helping businesses and communities adapt to our warmer, more volatile world with quality environmental information. If you are passionate about making a difference and excited to be part of a dynamic startup, we would love to hear from you.

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Skills & Experience

 

Required:

• 1-2 years of experience in a data engineering role, with a proven track record of designing and implementing data pipelines, workflows, or systems in a professional setting.

• Experience with spatiotemporal data analysis and modeling, particularly in the context of climate or environmental data.

• Proficiency in using advanced data analysis libraries (such as xarray) for multidimensional arrays, particularly for handling netCDF data formats.

• Familiarity with geospatial data processing tools and libraries (e.g., GDAL, geopandas) and understanding of geospatial data formats and standards.

• Proficient in data wrangling and analysis, with the ability to clean, manage, and interpret large datasets effectively.

• Strong software development practices, including version control (Git), continuous integration, and coding standards.

• Excellent communication skills, with the ability to collaborate effectively with cross-functional teams and clearly articulate technical concepts to non-technical stakeholders.

• Excitement and enthusiasm to learn more things.

 

Nice to have (but we can teach you):

• Expertise in ML principles, implementation in Python, including experience with ML libraries and frameworks such as PyTorch and TensorFlow.

• Cloud-based software architecture, including platforms like AWS, to design scalable and efficient systems.