Senior Data Architect / Data Scientist

Chenega Corporation; Arlington (VA); On-site; USD 100,000 - 140,000; Full time

Job summary

Chenega Corporation in Arlington, VA is seeking a Senior Data Architect / Data Scientist to design and implement advanced data architectures and analytics solutions. The ideal candidate will have 8+ years of experience in data engineering or science and an active Top Secret security clearance.

This role requires strong collaboration with stakeholders to support large-scale government operations using cutting-edge technologies. Join us to enhance your skills and build your career!

Qualifications

• 8+ years of experience in data engineering, data science, or analytics.
• Experience supporting federal and/or DoD customers.
• Active Top Secret security clearance required.

Responsibilities

• Design scalable enterprise data architectures supporting large-scale analytics and AI initiatives.
• Develop data pipelines and analytics models supporting mission decision-making.
• Build and deploy machine learning models supporting operational analytics.

Skills

Data engineering

Data science

Machine learning

Cloud platforms

Data analytics

Education

Bachelor’s degree in Data Science, Computer Science, Mathematics, Engineering, or related field

Master’s degree preferred

Tools

AWS

Azure

Microsoft Office

Job description

Overview

Data Architect / Data Scientist (Senior)

Arlington, VA

Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking for a career where professional development is embedded in your employer’s core culture? If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join our team of professionals who support large‑scale government operations by leveraging cutting‑edge technology and take your career to the next level!

The Senior Data Architect / Data Scientist designs, develops, and implements advanced data architectures and analytics solutions supporting CDAO data‑driven mission capabilities. Directly supports CDAO stakeholders while ensuring quality deliverables.

Responsibilities

• Design scalable enterprise data architectures supporting large‑scale analytics and AI initiatives.
• Develop data pipelines and analytics models supporting mission decision‑making.
• Build and deploy machine learning models supporting operational analytics.
• Support development of data governance and data management frameworks.
• Integrate multiple data sources across enterprise environments.
• Implement big data technologies supporting advanced analytics platforms.
• Collaborate with engineers, analysts, and mission stakeholders to build consensus and deliver data solutions.
• Other duties as assigned.

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Mathematics, Engineering, or related field.
• 8+ years of experience in data engineering, data science, or analytics.
  • Experience supporting federal and/or DoD customers.
  • Experience with machine learning frameworks, data analytics tools, and cloud‑based data platforms.
• Active Top Secret security clearance required.

Preferred Qualifications

• Master’s degree preferred.
• Experience supporting DoD, CDAO, Joint Staff, or Combatant Command data, AI, and digital modernization initiatives.
• Demonstrated experience designing and implementing cloud‑based data architectures, data lakes, and advanced analytics platforms within AWS, Azure, or similar environments.
• Experience developing and deploying machine learning, artificial intelligence, and predictive analytics solutions supporting mission operations and decision‑making.
• Professional certifications such as AWS Certified Data Analytics, Azure Data Engineer Associate, Databricks Certified Data Engineer, or equivalent.

Knowledge, Skills, and Abilities

• Ability to work on‑site 5 days a week.
• Ability to obtain SCI Clearance.
• Ability to work independently and yet be effective within a team setting.
• Must be capable of managing multiple efforts with time‑related constraints in a fast‑paced contracting environment.
• Demonstrated ability to effectively communicate and collaborate with diverse internal and external stakeholder groups and individuals.
• Friendly presence, helpful attitude, good interpersonal skills, and ability to work well with others.
• Excellent skills in Microsoft Word, Excel, and other Office applications.
• Proficient with Microsoft Office Applications, and experience working in a home office setting, as well as the ability to train end users on frequently asked technical issues.
• Ability to provide technical assistance and support over the phone; good phone skills, professional demeanor, and previous customer service experience strongly desired.
• Good problem‑solving skills; ability to visualize a problem/situation and think abstractly to solve it.