Defense Platform Data Engineer – Cloud, Graphs & GenAI

McKinsey & Company; Dallas (TX); On-site; USD 176,000 - 179,500; Full time

Job summary

McKinsey & Company in the United States is seeking a data engineer focused on defense sector platforms. You will join a cross‑functional team including senior leaders, engineers, data scientists, and designers to deploy GenAI-enabled data platforms with Python, data workflows, and knowledge graphs.

You will build data ingestion pipelines, develop CI/CD pipelines, and work across AWS, Azure, and GCP, using Docker containers.

Qualifications

• U.S. citizenship required.
• Defense data handling across classification levels preferred.
• SECRET security clearance required; TS+ preferred.
• 3+ years of data engineering with cloud-based data platforms (AWS; Azure/GCP a plus).
• Experience with Neo4j knowledge graphs and relational databases.
• Hands-on Docker experience; strong coding standards and testing.
• Solid data pipeline performance and diagnostics background.
• Excellent cross-functional collaboration and communication.

Responsibilities

• Develop data ingestion pipelines using Python to support GenAI apps.
• Create and modify GitHub Actions CI/CD pipelines across cloud infra.
• Work with AWS/Azure/GCP environments and Docker containers.
• Collaborate with data engineers, data scientists, and UI/UX designers.
• Write tests and ensure clean, modular code with proper error handling.

Skills

Data engineering

Cloud data engineering (AWS)

Knowledge graphs

Tools

Docker

Neo4j

GitHub Actions

Job description

McKinsey & Company in the United States is seeking a data engineer focused on defense sector platforms. You will join a cross‑functional team including senior leaders, engineers, data scientists, and designers to deploy GenAI-enabled data platforms with Python, data workflows, and knowledge graphs.

You will build data ingestion pipelines, develop CI/CD pipelines, and work across AWS, Azure, and GCP, using Docker containers.