Principal Full-Stack Engineer: AI, Analytics & AWS

Leidos

Maryland

On-site

USD 131,000 - 237,000

Full time

13 days ago
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Benefits offered by this job

Paid Time Off
11 paid Holidays
401K with 6% company match and vesting
Flexible Schedules
Discounted Stock Purchase Plans
Technical Upskilling
Education and Training Support
Parental Paid Leave

Job summary

Leidos is seeking a Principal Full-Stack Developer in our Intel Sector to design, develop, deploy, and sustain a production‑level BI and data warehousing environment using Python, Java, R, and AWS cloud technologies. The role emphasizes dashboards, analytics, and advanced data integrations within a fast-paced, mission-focused team.

The ideal candidate has a Bachelor’s degree with extensive experience, strong OOP skills, and expertise in SIGINT-related data flows, NiFi, and MLOps.

Qualifications

  • Bachelor's degree plus 11 years of relevant experience or equivalent.
  • Strong proficiency with Python, Java, and R; cloud computing and data engineering.
  • Active TS/SCI with Polygraph is required.

Responsibilities

  • Design, develop, deploy, and sustain a production-ready BI and data warehousing environment on AWS.
  • Develop dashboards and analytics using Tableau and Power BI; integrate AI/ML pipelines and MLOps.
  • Collaborate with mission stakeholders to capture requirements and translate into technical solutions.

Skills

Python
Java
R
Cloud computing
Data engineering
Business intelligence
AI/ML operations
Jupyter Notebooks

Education

Bachelor's degree

Tools

Docker
Kubernetes
Apache NiFi
Tableau
Power BI
AWS

Job description

Leidos is seeking a Principal Full-Stack Developer in our Intel Sector to design, develop, deploy, and sustain a production‑level BI and data warehousing environment using Python, Java, R, and AWS cloud technologies. The role emphasizes dashboards, analytics, and advanced data integrations within a fast-paced, mission-focused team.

The ideal candidate has a Bachelor’s degree with extensive experience, strong OOP skills, and expertise in SIGINT-related data flows, NiFi, and MLOps.

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