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# Data Engineer II - QuantumBlack, AI by McKinsey (Critical Industries)

- **Company:** McKinsey & Co Inc
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, BigQuery, Cyber Security, Continuous Integration, Data Cleansing, Information Engineering, Data Security, Data Systems, Cursor, Python (Programming Language), PostgreSQL, Machine Learning, Software Tools, Search Technologies, Software Deployment, SQL Databases, Systems Integration, Data Processing, Google Cloud, Data Storage Technologies, Claude Code, Snowflake, Apache Spark, Generative AI, Langfuse — LLM Observability and Analytics Platform, Agentic-AI, Pandas, LangSmith, Information Technology, Production Code, Data Management, Machine Learning Operations, Terraform, Data Pipelines, Databricks
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-engineer-ii-quantumblack-ai-by-mckinsey-critical-industries-boston-ma--f563cc69-a2c0-4ff9-b6b0-1567d1903d77

## About the Role

Artificial Intelligence (AI), Coaching, Mentoring, Diversity, Artificial Intelligence (AI), Data Management, Cross-Functional, Information/Data Security (InfoSec), Sales Pipeline, Data Analysis, * Degree in Computer Science/Engineering, or equivalent experience

 * 2+ years of relevant professional experience building and deploying data solutions
 * Strong proficiency in Python and SQL for data engineering and experience writing robust, production-grade code, including deploying code across environments
 * Proven experience building end-to-end data pipelines and platforms for Agentic AI, Generative AI, Machine Learning, or Business Intelligence, covering data preparation, embeddings generation, vector search, and system integration using modern frameworks (Spark, dbt, LangChain)
 * A strong foundation in system design, data storage, and reliability with commonly used data platforms (Databricks, Snowflake, BigQuery, PSQL, etc.) and data engineering tools (e.g., Pandas, Spark, dbt, etc.)
 * Hands-on experience with MLOps/LLMOps principles, including CI/CD for data workflows, automated agent evaluation (LangSmith, Opik, Langfuse), and infrastructure as code (Terraform)
 * Experience building systems with different data formats (structured vs unstructured) and data processing methods (streaming vs batch) and deploying across major cloud platforms (AWS, Azure, GCP)
 * Exceptional time management in a complex and largely autonomous work environment
 * Commercial client-facing or senior stakeholder management experience is beneficial
 * Experience using coding agents (Cursor, Claude Code, Codex, etc.) is a plus
 * Strong communication skills, both verbal and written, in English and local office language(s)

## Description

* U.S. Citizenship is a requirement for this role (you must be able to be staffed on Critical Industries work which includes Government, Defense, Aerospace, Utilities, etc.)