Cognitive AI Engineer: Full-Stack & Data Pipelines | TS/SCI

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 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.