Senior Full-Stack Engineer - Data Analytics for Impact

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

Job summary

Lockheed Martin is seeking a senior full stack software engineer to lead development of advanced data analytics solutions in support of a high-visibility mission. The role emphasizes collaboration with senior engineers, technical leadership, and agile practices in cross-functional teams.

The ideal candidate has a TS clearance with polygraph, extensive experience across JavaScript, React, and Mongo, and a strong track record delivering production-grade analytics systems in complex environments.

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

• Provide technical leadership and guidance on data analytics and Agile development projects.
• Collaborate with cross-functional teams to drive mission objectives.
• Develop, maintain and enhance complex software systems supporting Analytic Missions.

Skills

Full stack development

JavaScript

React

MongoDB

Analytic experience

Production environments

Education

Bachelor's degree in Computer Science or related discipline

Tools

MongoDB

Job description

Lockheed Martin is seeking a senior full stack software engineer to lead development of advanced data analytics solutions in support of a high-visibility mission. The role emphasizes collaboration with senior engineers, technical leadership, and agile practices in cross-functional teams.

The ideal candidate has a TS clearance with polygraph, extensive experience across JavaScript, React, and Mongo, and a strong track record delivering production-grade analytics systems in complex environments.