B
Cognitive AI Engineer SWE
Bigbear.ai
5 hours ago
Full-time
On-site
Annapolis, Maryland, United States
BigBear.ai is seeking a
Cognitive AI Engineer SWE
to design, develop, and maintain full-stack applications and data pipelines for reconciling requested versus deployed infrastructure in mission-focused environments.
Responsibilities
Design, develop, and maintain full-stack applications across frontend and backend systems
Build and maintain
ETL workflows
that reconcile requested infrastructure with infrastructure actually deployed
Develop scalable, reliable data ingestion and processing capabilities
Use
AI and machine learning tools
to accelerate data analysis, prototype solutions, and improve engineering workflows
Integrate data products and analytical results into user-focused applications and visualizations
Collaborate with full-stack engineers, data specialists, subject matter experts, and organizational stakeholders
Identify discrepancies, policy violations, and deviations from approved infrastructure best practices
Drive features from initial concept through implementation, testing, deployment, and continued improvement
Requirements
Active TS/SCI clearance with polygraph
Strong proficiency in
Python
Experience developing data pipelines, ETL workflows, or data processing applications
Experience with
Kafka
and
streaming analytics
Working knowledge of
relational databases
Demonstrated ability to use
AI/ML tools
to accelerate data analysis and engineering solution development
Ability to collaborate effectively across technical and mission-focused teams
Bachelor’s degree in a technical discipline , or additional relevant experience in lieu of a degree
Technologies
Python
Kafka
Streaming analytics
Relational databases
ETL
AI
Machine learning
What We’d Like You to Have
Hands-on experience supporting production cyber network operations capabilities
Experience analyzing cybersecurity datasets, including network traffic and operating system events
Understanding of end-to‑end SIGINT collection and analysis systems
Familiarity with
ClickHouse
Exposure to related domains such as dataflow, data science, mission analytics, or operational technology environments
Experience Leveling
Level 0:
Bachelor’s degree in a technical discipline, or
4 additional years
of relevant experience in lieu of a degree
Level 1:
3+ years
of experience and a bachelor’s degree, or
4 additional years
of relevant experience in lieu of a degree
Level 2:
8+ years
of experience and a bachelor’s degree, or
4 additional years
of relevant experience in lieu of a degree
Level 3:
12+ years
of experience and a bachelor’s degree, or
10+ years
of experience and a master’s degree
Location
Annapolis Junction, MD 20701
Onsite
#J-18808-Ljbffr
Cognitive AI Engineer SWE
to design, develop, and maintain full-stack applications and data pipelines for reconciling requested versus deployed infrastructure in mission-focused environments.
Responsibilities
Design, develop, and maintain full-stack applications across frontend and backend systems
Build and maintain
ETL workflows
that reconcile requested infrastructure with infrastructure actually deployed
Develop scalable, reliable data ingestion and processing capabilities
Use
AI and machine learning tools
to accelerate data analysis, prototype solutions, and improve engineering workflows
Integrate data products and analytical results into user-focused applications and visualizations
Collaborate with full-stack engineers, data specialists, subject matter experts, and organizational stakeholders
Identify discrepancies, policy violations, and deviations from approved infrastructure best practices
Drive features from initial concept through implementation, testing, deployment, and continued improvement
Requirements
Active TS/SCI clearance with polygraph
Strong proficiency in
Python
Experience developing data pipelines, ETL workflows, or data processing applications
Experience with
Kafka
and
streaming analytics
Working knowledge of
relational databases
Demonstrated ability to use
AI/ML tools
to accelerate data analysis and engineering solution development
Ability to collaborate effectively across technical and mission-focused teams
Bachelor’s degree in a technical discipline , or additional relevant experience in lieu of a degree
Technologies
Python
Kafka
Streaming analytics
Relational databases
ETL
AI
Machine learning
What We’d Like You to Have
Hands-on experience supporting production cyber network operations capabilities
Experience analyzing cybersecurity datasets, including network traffic and operating system events
Understanding of end-to‑end SIGINT collection and analysis systems
Familiarity with
ClickHouse
Exposure to related domains such as dataflow, data science, mission analytics, or operational technology environments
Experience Leveling
Level 0:
Bachelor’s degree in a technical discipline, or
4 additional years
of relevant experience in lieu of a degree
Level 1:
3+ years
of experience and a bachelor’s degree, or
4 additional years
of relevant experience in lieu of a degree
Level 2:
8+ years
of experience and a bachelor’s degree, or
4 additional years
of relevant experience in lieu of a degree
Level 3:
12+ years
of experience and a bachelor’s degree, or
10+ years
of experience and a master’s degree
Location
Annapolis Junction, MD 20701
Onsite
#J-18808-Ljbffr