Platform Data Engineer - Defense and Public SectorMcKinsey & Company • United States

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Platform Data Engineer - Defense and Public Sector

McKinsey & Company

United States

United States

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Are you ready to tackle pressing challenges and collaborate with a team driven by curiosity and ambition? Join us as we develop advanced AI Platforms for our clients in the Defense and Public Sector! Your Role: As a Platform Data Engineer, you will be at the forefront of developing innovative solutions that transform client services. You will collaborate closely with a dynamic team of engineers, data scientists, and designers, all while being guided by some of our senior leaders. Your contributions will directly impact the customization and deployment of cutting-edge technology for government clients. Key Responsibilities: Develop Python code and automated tests. Create and enhance CI/CD pipelines using GitHub Actions. Work with cloud infrastructures, including AWS, Azure, and GCP. Utilize Docker containers effectively. Create data ingestion pipelines and develop robust data processing capabilities for GenAI applications. Your Growth: We believe in fostering your professional journey through a culture of continuous learning and mentorship. You will receive valuable feedback and guidance to accelerate your development as a leader, with opportunities to contribute meaningful solutions and make a real difference. Why Join Us: Continuous Learning:
Engage in a structured program focused on your growth with actionable feedback. Valued Contributions:
Your ideas will be recognized and appreciated from day one. Global Community:
Work alongside talented colleagues from diverse backgrounds. Comprehensive Benefits:
Enjoy competitive compensation and a robust benefits package for you and your family. Your Qualifications: US Citizenship required. Experience with Defense-related data at various classification levels. SECRET Security Clearance; TS+ clearance preferred. 3+ years of professional experience as a Data Engineer with a focus on cloud environments, especially AWS. Strong expertise in Neo4j, knowledge graphs, and relational databases. Ability to write clean, modular, and well-tested code. Hands-on experience with Docker and data pipeline performance diagnostics. Exceptional problem-solving and collaboration skills. If you're ready to make a significant impact while growing your career, we encourage you to apply! Location: Washington DC

United States

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English

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