Principal Full-Stack Dev — Cloud, BI & AI Ops

Leidos LLC; 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 6% company match

Flexible Schedules

Discounted Stock Purchase Plan

Technical Upskilling

Education and Training Support

Parental Paid Leave

Job summary

Leidos seeks a Principal Full-Stack Developer to lead end-to-end BI, data warehousing, and analytics initiatives for its Intel sector. You will design and deploy production-ready dashboards using Tableau/Power BI, build cloud data pipelines in AWS, and craft scalable analytics across mission-focused workloads.

The role emphasizes collaboration with mission stakeholders, prototype development, and advanced analytics, with a strong emphasis on secure, scalable enterprise solutions.

Qualifications

• Bachelor's degree + 11 years of relevant experience or equivalent.
• Proficiency with Python, Java, and R and cloud computing.
• Active TS/SCI with Polygraph clearance required.

Responsibilities

• Design, develop, deploy, and sustain production BI and data warehousing solutions.
• Provision and configure AWS resources; implement enterprise data warehousing.
• Deploy and integrate Tableau and Power BI dashboards and analytics.
• Develop core dashboards, analytics, and advanced analytics capabilities.
• Leverage Docker, Kubernetes, and AI/ML workflows to industrialize models.

Skills

Python

Java

R

AWS

Tableau

Power BI

Docker

Kubernetes

NiFi

MLOps

LLM

Jupyter Notebooks

SIGINT architecture

Education

Bachelor's degree

Tools

Docker

Kubernetes

Job description

Leidos seeks a Principal Full-Stack Developer to lead end-to-end BI, data warehousing, and analytics initiatives for its Intel sector. You will design and deploy production-ready dashboards using Tableau/Power BI, build cloud data pipelines in AWS, and craft scalable analytics across mission-focused workloads.

The role emphasizes collaboration with mission stakeholders, prototype development, and advanced analytics, with a strong emphasis on secure, scalable enterprise solutions.