Senior Full-Stack Engineer: Build Analytics APIs & Dashboards

General Dynamics Information Technology

Arlington (VA)

On-site

USD 130,000 - 180,000

Full time

7 days ago
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Benefits offered by this job

Comprehensive benefits
401K with company match
Paid time off
Military-friendly workplace

Job summary

General Dynamics Information Technology is seeking a Senior Full Stack Software Engineer to join our team in Crystal City, VA. You will design, develop, deploy, and sustain innovative software and data capabilities across an analytic stack to deliver critical insights for government-facing needs.

You will work with analysts, data scientists, and engineers to prototype, transition solutions, and maintain scalable, secure analytics applications using Python, FastAPI, and Streamlit within

Qualifications

  • Proficiency in Python for data analytics, dashboards, and APIs.
  • Experience building analytics dashboards and reporting tools.
  • Strong knowledge of web technologies and RESTful APIs.
  • Experience with containerization and CI/CD pipelines.

Responsibilities

  • Develop clean Python code for analytics applications and dashboards.
  • Build data analytics web apps and APIs across the stack.
  • Integrate data sources via backend services and data access layers.
  • Collaborate with analysts and data engineers to deliver solutions.
  • Maintain CI/CD pipelines and Docker-based deployments.

Skills

Python
Streamlit
RESTful APIs
Docker
Git
PostgreSQL
MySQL
FastAPI
Full stack development
CI/CD

Education

Bachelor’s degree in Computer Science, Software Engineering, or related field

Tools

FastAPI
Streamlit

Job description

General Dynamics Information Technology is seeking a Senior Full Stack Software Engineer to join our team in Crystal City, VA. You will design, develop, deploy, and sustain innovative software and data capabilities across an analytic stack to deliver critical insights for government-facing needs.

You will work with analysts, data scientists, and engineers to prototype, transition solutions, and maintain scalable, secure analytics applications using Python, FastAPI, and Streamlit within

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