Data Engineer - Platform; Defense

Data Engineer - Platform (Defense)

Job

Do you want to work on complex and pressing challenges - the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you've come to the right place.

As a Data Engineer with expertise in Python development, including data workflows, knowledge graphs, and/or generative AI, you will work closely with software engineers, data scientists, UI/UX designers, and other technologists.

You will be part of a team of data engineers to develop data ingestion pipelines and mature data processing capabilities that ingest data into a system used by GenAI applications. The work includes but is not limited to creating python code, writing tests, creating and modifying Git Hub Action CI/CD pipelines, and working with AWS‑based infrastructure and Docker containers.

Your role will specifically focus on customization and additional features required to deploy this platform for Defense and other Government clients.

Driving lasting impact and building long‑term capabilities with our clients is not easy work. You thrive in a high‑performance, high‑reward culture—doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues at all levels invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you’ll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

• Continuous learning: Our learning and apprenticeship culture, backed by structured programs, helps you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast‑paced learning experience, owning your journey.
• A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us develop the best solutions for our clients. You’ll also have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• World‑class benefits: In addition to a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well‑being for you and your family.

• 3+ years of professional experience as a data engineer, focusing on cloud‑based data engineering; previous enterprise platform experience preferred
• Defense experience and working with data across various classification levels required
• Significant previous experience with Neo4j
• Strong conceptual understanding of knowledge graphs
• Experience with rules‑driven propagation a plus
• Experience building and adapting complex data workflows
• Expertise with Python development
• US citizenship required
• SECRET security clearance required; TS+ clearance preferred

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

FOR U.S. APPLICANTS:
McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic…