Geospatial Analyst/Developer — Advanced GIS & Dashboards

Huntington Ingalls Industries; Huntsville (AL); On-site; USD 74,000 - 105,000; Full time

Job summary

Huntington Ingalls Industries (HII) Mission Technologies seeks a skilled GIS Analyst/Developer to join our team supporting the Missile Defense Agency (MDA). The role provides advanced geospatial analysis, database development, and production of geospatial products to support facility life cycle management.

You will coordinate with internal and external stakeholders, develop automated workflows in Python/ModelBuilder, and ensure metadata and data quality across enterprise datasets.

Qualifications

• 5 years relevant experience with BA in related field; 3 years with Masters; 0 with PhD/JD; or 9 years HS + experience.
• BA/BS degree preferred: 6 years relevant experience.
• MA/MS may substitute for 2 years of experience.
• Demonstrated understanding of geospatial principles, theories, and concepts.

Responsibilities

• Designs, analyzes, and develops geospatial solutions for infrastructure and features.
• Performs GIS analyses on natural resources and datasets to support requirements.
• Plans, designs, develops, and analyzes spatial and relational databases.
• Uses GIS software to manage and analyze spatial and tabular data.
• Builds and maintains geospatial databases from data capture tools.

Skills

Geospatial analysis

GIS development

Python scripting

SQL / databases

ArcGIS Pro

ArcGIS Online

Data QC/QA

Education

BA/BS in related field

MA/MS may substitute for experience

High School Diploma + 9 years experience

Tools

Esri ArcGIS Pro

ArcMap

ArcGIS Online

Geodatabases

Python

ModelBuilder

Job description

Huntington Ingalls Industries (HII) Mission Technologies seeks a skilled GIS Analyst/Developer to join our team supporting the Missile Defense Agency (MDA). The role provides advanced geospatial analysis, database development, and production of geospatial products to support facility life cycle management.

You will coordinate with internal and external stakeholders, develop automated workflows in Python/ModelBuilder, and ensure metadata and data quality across enterprise datasets.