Geospatial Data Engineer — Hybrid-Remote GIS Pipelines

Pano AI; United States; Hybrid; USD 80,000 - 110,000; Full time

Job summary

Pano AI, a leader in wildfire detection based in the United States, is looking for a Geospatial Data Engineer to enhance data infrastructure for analytics. The role encompasses designing scalable data pipelines and collaborating across teams, requiring proficiency in Python and SQL, and familiarity with geospatial data.

The ideal candidate has 2-4 years of experience in data engineering or related fields. Join us in addressing the growing wildfire crisis!

Qualifications

• 2–4 years of experience in data engineering, software engineering, or a closely related role.
• Experience with geospatial Python libraries.
• Experience building or maintaining ETL or data pipeline workflows.

Responsibilities

• Design, build, and maintain data pipelines for geospatial datasets.
• Develop and optimize database schemas for analytics.
• Write Python-based automation scripts following best practices.

Skills

Python proficiency

SQL skills

Geospatial data formats

PostgreSQL and PostGIS

Communication skills

Education

Bachelor’s degree in Computer Science, Engineering, Geography, Statistics, Math, or related field

Tools

PostGIS

PostgreSQL

Git/GitHub

Job description

Pano AI, a leader in wildfire detection based in the United States, is looking for a Geospatial Data Engineer to enhance data infrastructure for analytics. The role encompasses designing scalable data pipelines and collaborating across teams, requiring proficiency in Python and SQL, and familiarity with geospatial data.

The ideal candidate has 2-4 years of experience in data engineering or related fields. Join us in addressing the growing wildfire crisis!