Principal Full-Stack Engineer – Data & AI (TS/SCI)

ARSIEM Corporation; Fort Meade (MD); On-site; USD 216,000 - 241,000; Full time

Job summary

ARSIEM Corporation seeks a motivated Principal Full-Stack Developer to support the Tradecraft Evolution mission. You will design, develop, and deploy a production-ready BI and data warehousing environment for a government client at Fort Meade, MD.

The role requires strong proficiency in Python, Java, and R, cloud computing, data engineering, BI analytics, and AI/ML operations, with experience in NiFi, Docker, Kubernetes, and end-to-end pipelines to production readiness.

Qualifications

• Bachelor's degree plus 11-years of relevant experience or equivalent.
• Strong proficiency with object-oriented languages (Python, Java, and R) and cloud computing, data engineering, business intelligence, and AI/ML operations, Jupyter Notebooks.

Responsibilities

• Collaborate with customers to design, develop, deploy, and sustain a production-ready BI and data warehousing environment.
• Provision and configure AWS resources, implement enterprise data warehousing, and deploy and integrate Tableau and Power BI.
• Develop core dashboards and analytics; enable advanced analytics, MI/ML workflows, and scalable AI solutions in the enterprise analytics ecosystem.
• Create APIs and BI analytics to fill knowledge gaps in user activities and collection efforts.

Skills

Python

Java

R

Jupyter Notebooks

Cloud computing

Data engineering

BI/Analytics

AI/ML operations

Education

Bachelor's degree

Tools

NiFi

Docker

Kubernetes

Tableau

Power BI

Job description

ARSIEM Corporation seeks a motivated Principal Full-Stack Developer to support the Tradecraft Evolution mission. You will design, develop, and deploy a production-ready BI and data warehousing environment for a government client at Fort Meade, MD.

The role requires strong proficiency in Python, Java, and R, cloud computing, data engineering, BI analytics, and AI/ML operations, with experience in NiFi, Docker, Kubernetes, and end-to-end pipelines to production readiness.