Aviation Operations App Dev Intern

Dynamic Aviation; Bridgewater (VA); On-site; USD 15,000 - 21,000; Full time

Job summary

Dynamic Aviation in Bridgewater, VA seeks a Business Operations Application Development Intern to design and build a web app consolidating flight operations information and asset tracking. You will translate user needs into tested features, connect internal data sources, and replace fragmented manual tracking with reliable workflows and reporting.

Most coding may use approved AI-assisted development tools, but you will still own understanding, testing, and documentation of the resulting code;

Qualifications

• Pursuing degree in CS, software engineering, electrical/computer engineering, data science, information systems, or related field.
• Foundational programming experience in Python, JavaScript/TypeScript, C#, or Java.
• Basic understanding of relational databases, SQL, APIs, data structures, and software testing.
• Ability to work independently within a limited weekly schedule, ask questions early, and communicate progress clearly.

Responsibilities

• Meet with business users to understand workflows, data definitions, pain points, reporting needs, and decisions the app must support.
• Translate requirements into user stories, prototypes, databases, interfaces, and working features with limited direction.
• Use approved AI coding platforms to accelerate development while reviewing, testing, and documenting generated code.
• Develop and refine web-based forms, workflows, dashboards, filters, calculations, notifications, approvals, and reports.

Skills

Python

JavaScript/TypeScript

C#

Java

SQL basics

Education

Associate/Bachelor's/Graduate in CS/SE/Data Science/IS/related

Tools

Git/GitHub

AI coding assistants

Job description

Dynamic Aviation in Bridgewater, VA seeks a Business Operations Application Development Intern to design and build a web app consolidating flight operations information and asset tracking. You will translate user needs into tested features, connect internal data sources, and replace fragmented manual tracking with reliable workflows and reporting.

Most coding may use approved AI-assisted development tools, but you will still own understanding, testing, and documentation of the resulting code;