Position: Data Engineer II - QuantumBlack, AI by McKinsey

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives 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'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will 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, is all about helping 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 come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• World-class benefits: On top of 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.

As a Data Engineer II, you will design, build, and optimize modern data platforms that power advanced analytics and AI solutions.

You’ll collaborate with clients and interdisciplinary teams to architect scalable pipelines, manage secure and compliant data environments, and unlock the value of complex datasets across industries. You’ll sharpen your expertise by working on innovative projects, contributing to R&D, and learning from top-tier talent in a dynamic, global environment.

Your work will drive lasting impact. By ensuring data is accurate, accessible, and production-ready, you’ll enable clients to accelerate digital transformations, adopt AI responsibly, and achieve measurable business outcomes. Here’s how you might contribute in a given year:

• Develop a streaming data platform to integrate telemetry for predictive maintenance in aerospace systems
• Implement secure data pipelines that reduce time-to-insight for a Fortune 500 utility company
• Optimize large-scale batch and streaming workflows for a global financial services client, cutting infrastructure costs while improving performance.
• Develop pipelines for embeddings and vector databases to enable retrieval-augmented generation (RAG) for a global defense client.

You’ll work in cross-functional Agile teams with Data Scientists, Machine Learning Engineers, Designers, and domain experts to deliver high-quality analytics solutions. Partnering closely with clients—from data owners to C-level executives—you’ll shape data ecosystems that drive innovation and long-term resilience.

This role offers an exceptional environment to grow as a technologist and collaborator. You’ll develop expertise at the intersection of technology and business by tackling diverse challenges while collaborating with some of the best technical and business talent in the world.

There is flexibility to hire at the Engineer I/II or Senior Engineer level, depending on your experience

• Degree in Computer Science, Business Analytics, Engineering, Mathematics, or related field
• 2+ years of professional experience in data engineering, software engineering, or adjacent technical roles
• Proficiency in Python, Scala, or Java for…