Geospatial Backend Engineer (Node/Python, ArcGIS)

Trinity Global Consulting

Springfield (VA)

On-site

USD 110,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Medical, Dental & Vision Coverage

Paid Time Off

Paid Holidays

Disability & Life Insurance

401(k) Retirement Plan

Professional Training

Job summary

Trinity Global Consulting in Springfield, VA, seeks a backend software engineer to build geospatial processing services, APIs, and integration tooling. You will work with Python, Node.js, Java, and ArcGIS Enterprise in containerized environments, supporting cloud-native and on-prem deployments.

The role emphasizes robust API design, testing, observability, and collaboration with GIS and DevOps teams to deliver production solutions.

Qualifications

Bachelor's degree in Computer Science, Engineering, GIS, or related technical field (or equivalent practical experience).
2+ years of industry experience as a backend software engineer or equivalent practical experience.
Hands-on experience developing backend services with Python, JavaScript/Node.js, and Java.
Experience designing and building REST APIs and service-based architectures.
Experience extending or integrating with ArcGIS Enterprise or similar enterprise geospatial platforms.
Familiarity with geoprocessing workflows, proxies, middleware services, and GIS/data processing automation.
Experience working in containerized environments (Docker, Kubernetes, or similar).
Solid fundamentals in API design, software/system design, and testing/debugging distributed services.
US Citizenship required
Active or current Top Secret clearance with SCI eligibility

Responsibilities

Build backend services that power geospatial processing, automation, and user-facing capabilities.
Develop APIs, proxies, and integration services using Node.js and Python.
Create and maintain backend tooling that extends ArcGIS Enterprise in containerized environments.
Develop and maintain geoprocessing services, automation scripts, and operational workflows.
Build connectors and ingestion pipelines across diverse enterprise data sources.
Support deployments across cloud-native and on-premises environments.
Improve reliability and performance through API design, testing, monitoring, and observability.
Collaborate with platform, DevOps, and GIS teams to translate requirements into production solutions.