Geospatial Software Engineer (Big Data)

Core responsibilities:

• Support the deployment of Chloris' innovative technology for enterprise clients in the voluntary carbon markets and supply chain sustainability
• Work closely with data scientists and subject matter experts to design, test, and build the software at the core of our geospatial data processing engine
• Optimize and integrate code to bring it to production
• Report to the Data (Engineering) Team Lead

This role creates positive change by supporting technology that accelerates the global transition to a net-zero and nature-positive economy through reliable natural capital data for carbon markets and sustainable supply chains.

Required qualifications:

• Bachelor's degree in Computer Science or related field, or equivalent work experience
• 3-5 years of professional software engineering experience
• 3-5 years of experience with Python or similar language
• Understanding of Object Oriented and Functional Programming paradigms
• Experience working with relational and/or NoSQL Databases
• Independent and self-motivated with excellent problem-solving, analytical, and communication skills

Ideal candidates will have:

• Experience with AWS services such as Lambda, S3, and DynamoDB
• Experience with Open Source Geospatial tools such as GDAL, Geopandas, Rasterio, Xarray, etc

Compensation is dependent on the amount of experience candidates bring to the role. No specific salary, perks, or culture highlights mentioned in the posting.

Chloris Geospatial is a venture-backed technology company operating at the intersection of space-tech and nature-tech. Their mission is to accelerate the global transition to a net-zero and nature-positive economy with the most reliable, trustworthy, and transparent natural capital data.