Lead Python Engineer – Satellite Systems & Simulations

Northrop Grumman

Fairfax (VA)

On-site

USD 142,200 - 213,400

Full time

14 days+

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Benefits offered by this job

Health insurance
Life and disability insurance
Savings plan
Paid time off

Job summary

Northrop Grumman in Fairfax, VA seeks a Lead Python Programming Software Engineer – Level 4 to lead a small team creating a tool that simulates data flow across satellites and ground stations. The role focuses on large datasets and algorithms to model atmosphere impacts on missions and optimize communications network traffic.

The ideal candidate has strong Python skills, architecture experience, and a commitment to rigorous testing and documentation.

Qualifications

  • Proven experience programming with Python for at least 3 years at a senior level.
  • Experience with software architecture design patterns.
  • Experience with version control practices (GitLab preferred).

Responsibilities

  • Contribute to architecture decisions by evaluating approaches and technologies and aligning with project goals.
  • Design, implement new software or modify existing software to add features.
  • Identify and fix bugs with consideration of broader system impact.
  • Develop tests to verify correctness and meet requirements.
  • Design, develop, and modify software pipelines and deployment methods for automation.
  • Collaborate with network specialists to ensure accurate simulation of parameters.
  • Lead, mentor, and assign work to junior developers.
  • Support and deliver technical updates to Government customers.
  • Lead the transfer of tools and datasets from Unclassified to Classified environments.

Skills

Python
Software architecture
Version control

Education

Bachelor's degree
Master's degree
PhD

Tools

GitLab
Containerization

Job description

Northrop Grumman in Fairfax, VA seeks a Lead Python Programming Software Engineer – Level 4 to lead a small team creating a tool that simulates data flow across satellites and ground stations. The role focuses on large datasets and algorithms to model atmosphere impacts on missions and optimize communications network traffic.

The ideal candidate has strong Python skills, architecture experience, and a commitment to rigorous testing and documentation.

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