Principal Software Engineer

Que Technology Group; Fort Meade (MD); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Competitive salary

Company Medical/Dental/Vision plans –

Short-term Disability

Life Insurance – Company paid

401K with 6% company match

Paid Federal Holidays – 11 days

Professional Development Fund

Bonus program

Job summary

Que Technology Group is seeking a motivated Principal Full-Stack Developer to design, develop, and deploy a production-ready BI and data warehousing environment using Python, Java, R, and AWS.

You will collaborate with mission stakeholders to capture requirements, build core dashboards, and implement scalable data pipelines with Docker, Kubernetes, and MLOps capabilities, including LLM optimization and secure AI integration. Active TS/SCI with Polygraph required.

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, BI, and AI/ML operations, Jupyter Notebooks.

Responsibilities

• Collaborate with stakeholders to design and deploy production-ready BI and data warehousing environments.
• Leverage Python, Java, R, and AWS to build analytics dashboards and data pipelines.
• Prototype and scale ML/AI workflows with Docker, Kubernetes, and end-to-end automation.
• Optimize LLM performance through prompt engineering and secure AI integration into analytics.
• Create APIs and BI analytics to fill knowledge gaps in user activities and data discovery.

Skills

Python

Java

R

Cloud computing

Data engineering

Business intelligence

AI/ML operations

Education

Bachelor's degree

Tools

Jupyter Notebooks

Tableau

Power BI

Docker

Kubernetes

NiFi

Job description

Que Technology Group is seeking a motivated Principal Full-Stack Developer to support the exciting Tradecraft Evolution mission. Developer will work closely with mission stakeholders to capture requirements to design, develop, and deploy a production-ready Business Intelligence and data warehousing environment.

Responsibilities include, but are not limited to:

• Mission Focus: Collaborate closely with customers to design, develop, deploy, and sustain a production-ready Business Intelligence, data warehousing, and advanced analytics environment, leveraging Python, Java, R, and AWS cloud technologies.
• The mission encompasses provisioning and configuring AWS resources; implementing enterprise data warehousing solutions; deploying and integrating Tableau and Power BI; developing core corporate dashboards and analytics; and enabling advanced analytics, analytic watermarking, sandbox environments, and pilot initiatives.
• The role also requires expertise in SIGINT architecture and NiFi dataflows, along with advanced MLOps capabilities to industrialize AI models through Docker containerization, Kubernetes orchestration, and automated end-to-end pipelines.
• Additionally, the mission focuses on optimizing Large Language Model (LLM) performance through advanced prompt engineering and integrating scalable, secure, and operationally effective AI solutions into the enterprise analytics ecosystem..
• Technical Proficiency: Creatively leverage disparate data to fill knowledge gaps in user activities, collection efforts, and technology discovery to include creating APIs and business intelligence analytics.

Que Technology Group is seeking a motivated Principal Full-Stack Developer to support the exciting Tradecraft Evolution mission. Developer will work closely with mission stakeholders to capture requirements to design, develop, and deploy a production-ready Business Intelligence and data warehousing environment.

Responsibilities include, but are not limited to:

• Mission Focus: Collaborate closely with customers to design, develop, deploy, and sustain a production-ready Business Intelligence, data warehousing, and advanced analytics environment, leveraging Python, Java, R, and AWS cloud technologies.
• The mission encompasses provisioning and configuring AWS resources; implementing enterprise data warehousing solutions; deploying and integrating Tableau and Power BI; developing core corporate dashboards and analytics; and enabling advanced analytics, analytic watermarking, sandbox environments, and pilot initiatives.
• The role also requires expertise in SIGINT architecture and NiFi dataflows, along with advanced MLOps capabilities to industrialize AI models through Docker containerization, Kubernetes orchestration, and automated end-to-end pipelines.
• Additionally, the mission focuses on optimizing Large Language Model (LLM) performance through advanced prompt engineering and integrating scalable, secure, and operationally effective AI solutions into the enterprise analytics ecosystem..
• Technical Proficiency: Creatively leverage disparate data to fill knowledge gaps in user activities, collection efforts, and technology discovery to include creating APIs and business intelligence analytics.

Required Qualifications

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

Preferred Qualifications:

• Knowledge of SIGINT architectures, Apache NiFi dataflows, customer corporate tools and data repositories

Security Clearance:

• Active TS/SCI with Polygraph required

BENEFITS:

• Competitive salary
• Company Medical/Dental/Vision plans – Company paid
• Short-term Disability, Long-term disability and Life Insurance – Company paid
• Business/ First Class travel upgrade for 7 hour or longer flights & company card will be provided for expenses
• Vacation / Personal days granted at 25 days per year
• Paid Federal Holidays – 11 days
• $5,000 Annual Professional Development Fund plus 40 paid hours if in class
• 401K with 6% company match; all contributions are immediately vested by Employee
• Employee will be paid a bonus of $10,000 per employee hired based on their referral
• Up to 3 paid Code Red days due to customer closure

Que Technology Group, Inc., is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.