Geospatial Data Engineer: Spatial Pipelines & Cloud

RE-Managers GmbH; United States; Hybrid; USD 73,000 - 101,000; Full time

Benefits offered by this job

Accommodation & onboarding

Residence permit support

Modern work environment

Tuition support track

Job summary

Remotely seeks a Geospatial Data Engineer & Spatial Pipelines to build automated pipelines connecting WFS, REST and open data, and to push spatial models into production. You will work with PostGIS and a Docker-based deployment stack in a hybrid German work environment.

The role emphasizes robust data harmonization, cloud readiness, and a practical, clean-code approach, with opportunities for a dual master/trainee track and local accommodation support.

Qualifications

• Degree in Geoinformatics, Computer Science, or Data Science.
• Strong Python (GeoPandas, Shapely) and PostgreSQL/PostGIS skills.
• Fluent English; German a plus.
• Experience with Docker and cloud deployments.
• Experience with WFS/REST data sources.

Responsibilities

• Geospatial Data Modeling: Develop and refine automated pipelines connecting to WFS services, REST APIs, and public open-data platforms.
• Spatial Inference: Implement spatial overlay models for energy grid matching and land analysis within a PostGIS cluster.
• Data Harmonization: Validate, clean, and transform complex vector geometries into a single CRS (EPSG:25832) before insertion.
• Cloud Deployment: Package services into Docker environments and deploy on secure server infrastructure.

Skills

Python

PostgreSQL/PostGIS

Geoinformatics degree

English

German

Education

Geoinformatics degree

Computer Science degree

Data Science degree

Tools

Docker

Job description

Remotely seeks a Geospatial Data Engineer & Spatial Pipelines to build automated pipelines connecting WFS, REST and open data, and to push spatial models into production. You will work with PostGIS and a Docker-based deployment stack in a hybrid German work environment.

The role emphasizes robust data harmonization, cloud readiness, and a practical, clean-code approach, with opportunities for a dual master/trainee track and local accommodation support.