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# Principal Data Engineer - QuantumBlack, AI by McKinsey

- **Company:** McKinsey & Company
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $216,700 - $220,000
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Code Review, Information Engineering, Data Infrastructure, DevOps, Distributed Computing Environment, Python (Programming Language), NumPy, Object-Oriented Software Development, DataOps, Software Engineering, SQL Databases, Workflow Management Systems, Google Cloud, Apache Spark, Pandas, Matplotlib, Containerization, AI Platforms, Pyspark, Kubernetes, Information Technology, Production Code, Dask, Machine Learning Operations, Data Pipelines, Docker, Databricks
- **Published:** November 14, 2026
- **Apply:** https://diversityjobs.com/career/18925213/Principal-Data-Engineer-Quantumblack-Ai-By-Mckinsey-New-York-New-York

## About the Role

* Degree in Computer Science, Engineering, Mathematics, or equivalent experience
 * 10+ years relevant professional experience
 * Ability to scope projects, define workstreams, and translate roadmaps into sprint goals, milestones, and deliverables within agile and iterative team environments
 * Proven experience architecting and building enterprise data and AI platforms as well as scalable data pipelines for advanced analytics use cases operating in production
 * Passion for and track record of effectively leading and mentoring more junior colleagues
 * Expertise in implementing software engineering best practices to drive enterprise-wide improvement, including DevOps, DataOps, and MLOps
 * Strong software engineering and data engineering expertise, including distributed computing frameworks (e.g., Spark, Dask), cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), analytics libraries (e.g., pandas, NumPy, matplotlib), and modern data platforms and orchestration tools such as Databricks, Airflow, SQL, PySpark, Kedro, and RAPIDS
 * Ability to write clean, maintainable, scalable, and robust code in object-oriented languages such as Python, Scala, or Java, and experience supporting the development of junior engineers through collaborative code reviews
 * Extensive commercial client-facing or senior stakeholder management experience
 * Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
 * Willingness to travel
 * Strong communication skills with the ability to adjust your style to suit different perspectives and seniority levels

## Description

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.
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