Cognitive AI Engineer SWE

Bigbear.ai; Maryland; On-site; USD 120,000 - 180,000; Full time

Job summary

BigBear.ai seeks 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.

The role emphasizes building ETL workflows, scalable data ingestion, and applying AI/ML tools to accelerate analysis and engineering workflows. Onsite location in Annapolis Junction, MD, with a strong focus on collaboration across technical and mission teams.

Qualifications

• 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.
• Bachelor’s degree in a technical discipline, or additional relevant experience in lieu of a degree.

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.

Skills

Python

Kafka

Streaming analytics

Relational databases

AI/ML tools

Education

Bachelor’s degree in a technical discipline

Tools

Kafka

ClickHouse

ETL

Job description

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