Senior Full Stack Engineer - Cloud GIS & Data Viz (Remote)

Peraton; Herndon (VA); Remote; USD 104,000 - 166,000; Full time

Job summary

Peraton is seeking a Senior Full Stack Engineer to support the U.S. Geological Survey Volcano Hazards Program.

You will be an embedded technical contributor designing, developing, and deploying a cloud-ready database and data visualization tools to support M&E workflows for scientists, program managers, and VDAP across the five observatories. Responsibilities include building a relational database with PostgreSQL/PostGIS, RESTful APIs in Python (FastAPI/Flask), and a web/mobile UI using

Qualifications

• U.S. Citizenship required; ability to obtain Public Trust clearance.
• Experience designing and optimizing relational databases with spatial data.
• Proficiency building RESTful APIs with Python (FastAPI/Flask).
• Strong front-end skills with React/TypeScript.
• Experience with GIS tools and web mapping libraries.

Responsibilities

• Design, develop, and deploy a cloud-ready PostgreSQL/PostGIS database.
• Build RESTful APIs and data ingestion/ETL workflows.
• Create web/mobile data entry interfaces with React.
• Develop GIS visualization tools and dashboards.
• Ensure accessibility, security, and compliance per standards.
• Document schemas, APIs, and deployment guides.

Skills

Cloud architecture

Python Backend

REST APIs

PostgreSQL

PostGIS

React

JavaScript / TypeScript

GIS / Geospatial

Data modeling

Documentation

Git / GitLab

Security & Compliance

Education

Bachelor's degree + 8 years experience

Tools

FastAPI

Flask

ESRI ArcGIS API

Leaflet

Mapbox

ArcPy

GDAL/OGR

Job description

Peraton is seeking a Senior Full Stack Engineer to support the U.S. Geological Survey Volcano Hazards Program.

You will be an embedded technical contributor designing, developing, and deploying a cloud-ready database and data visualization tools to support M&E workflows for scientists, program managers, and VDAP across the five observatories. Responsibilities include building a relational database with PostgreSQL/PostGIS, RESTful APIs in Python (FastAPI/Flask), and a web/mobile UI using