Senior Full-Stack Engineer – Analytics & Cyber Mission

Lockheed Martin; Churchville (MD); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical and dental coverage

401k retirement savings plan

Paid time off for work/life balance

Competitive benefits

Job summary

Lockheed Martin in Maryland is seeking a senior software engineer to lead data analytics projects and collaborate with cross-functional teams in an agile environment.

You will design, develop, test, and maintain advanced software systems with focus on Linux platforms and Java-based tech stack. The role emphasizes mentorship, production readiness, and delivering mission-critical analytics solutions.

Qualifications

• Active Top Secret clearance with polygraph.
• Seven (7) years’ experience as a SWE, in programs and contracts of similar scope, type, and complexity is required.
• Bachelor’s degree in Computer Science or related discipline from an accredited college or university is required.
• Four (4) years of additional SWE experience (total of 11) on projects with similar software processes may be substituted for a bachelor’s degree.
• Full stack development including JavaScript, React, and Mongo, prior analytic experience, production environments.

Responsibilities

• Lead and mentor senior engineers on data analytics and agile development projects.
• Collaborate with cross-functional teams to drive mission objectives.
• Develop, maintain and enhance complex software systems and analytics solutions.

Skills

SWE experience

Collaboration

Education

Bachelor's degree in Computer Science or related discipline

11 years SWE experience equivalent

Tools

Java

JavaScript

React

MongoDB

Linux

Job description

Lockheed Martin in Maryland is seeking a senior software engineer to lead data analytics projects and collaborate with cross-functional teams in an agile environment.

You will design, develop, test, and maintain advanced software systems with focus on Linux platforms and Java-based tech stack. The role emphasizes mentorship, production readiness, and delivering mission-critical analytics solutions.