Principal Full-Stack Dev – National Security, AI/Cloud (TS/SCI)

Leidos; Fort Meade (MD); On-site; USD 131,000 - 237,000; Full time

Benefits offered by this job

Paid Time Off

11 paid Holidays

401K with company match

Flexible Schedules

Discounted Stock Purchase Plans

Technical Upskilling

Education and Training Support

Parental Paid Leave

Job summary

Leidos seeks a Principal Full-Stack Developer in the Intel Sector to design, develop, and deploy a production-ready BI and data-warehousing environment on AWS. You will work with stakeholders to capture requirements and deliver analytics solutions using Python, Java, and R.

Qualified candidates must have an active TS/SCI with Polygraph. The role emphasizes data governance, ML pipelines, and enterprise dashboards, with opportunities for advanced analytics work and career growth.

Qualifications

• Bachelor's degree plus 11+ years of relevant experience or equivalent.
• Strong proficiency with Python, Java, and R and cloud computing.
• Experience in data engineering, business intelligence, and AI/ML operations; Jupyter Notebooks.

Responsibilities

• Design, develop, deploy a production-ready BI, data warehousing, and analytics environment leveraging Python, Java, R, and AWS.
• Collaborate closely with mission stakeholders to capture requirements and deliver scalable analytics solutions.
• Develop dashboards and analytics components, integrate Tableau/Power BI, and enable AI/ML pipelines.

Skills

Python

Java

R

Cloud computing

Data engineering

Business intelligence

AI/ML operations

Jupyter Notebooks

Education

Bachelor's degree

Tools

Tableau

Power BI

Apache NiFi

Docker

Kubernetes

AWS

Job description

Leidos seeks a Principal Full-Stack Developer in the Intel Sector to design, develop, and deploy a production-ready BI and data-warehousing environment on AWS. You will work with stakeholders to capture requirements and deliver analytics solutions using Python, Java, and R.

Qualified candidates must have an active TS/SCI with Polygraph. The role emphasizes data governance, ML pipelines, and enterprise dashboards, with opportunities for advanced analytics work and career growth.