Hybrid Geospatial Backend Engineer — Production Data

Chloris Geospatial; Boston (MA); Hybrid; USD 110,000 - 160,000; Full time

Job summary

Chloris Geospatial is seeking a Geospatial Software Engineer (Backend) to design, test, and implement backend services that deliver its nature-based data insights. You will work closely with the data science team to deploy code to production and ensure robust production-grade software.

The ideal candidate has 4+ years in software engineering, strong Python skills, and familiarity with OO/FP paradigms. A hybrid work setup in Boston, MA is preferred, with quarterly in-person collaboration and a

Qualifications

• Bachelor's degree in Computer Science, or related field, or equivalent work experience.
• 4+ years of professional software engineering experience.
• 4+ years of experience with Python or similar language.
• Understanding of Object Oriented and Functional Programming paradigms.
• Independent and self-motivated with excellent problem-solving, analytical, and communication skills.

Responsibilities

• Design, test, and build the backend software which delivers Chloris Geospatial’s unique insights.
• Work closely with data scientists to optimize and integrate their code in order to bring it to production.

Skills

Python

Backend development

Software engineering

OO & FP concepts

Problem solving

Education

Bachelor's degree in Computer Science or related field

Tools

AWS: Lambda, S3, DynamoDB

Geospatial tools: GDAL, Geopandas, Rasterio, Xarray

Job description

Chloris Geospatial is seeking a Geospatial Software Engineer (Backend) to design, test, and implement backend services that deliver its nature-based data insights. You will work closely with the data science team to deploy code to production and ensure robust production-grade software.

The ideal candidate has 4+ years in software engineering, strong Python skills, and familiarity with OO/FP paradigms. A hybrid work setup in Boston, MA is preferred, with quarterly in-person collaboration and a