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

- **Company:** McKinsey & Co Inc
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Cyber Security, Continuous Integration, Information Engineering, Data Security, Cursor, Python (Programming Language), Machine Learning, Role-Based Access Control, SQL Databases, Web Application Frameworks, Google Cloud, LangChain, Claude Code, Prompt Engineering, Apache Spark, Generative AI, AI Coding Agents, Langfuse — LLM Observability and Analytics Platform, Agentic-AI, LangSmith, Information Technology, Low Latency, Dask, Data Management, Machine Learning Operations, Terraform, Databricks
- **Published:** October 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-data-engineer-i-quantumblack-ai-by-mckinsey-critical-industries-boston-ma--cd21a4f1-5a41-4446-8ff9-22151bf86943

## About the Role

Artificial Intelligence (AI), Coaching, Mentoring, Diversity, Artificial Intelligence (AI), Technical/Engineering Design, Data Management, Cross-Functional, Information/Data Security (InfoSec), Sales Pipeline, You should expect your work to include at least some work in critical industries (Government, Defense, Aerospace, Utilities, Oil & Gas) but you will have the ability to serve other industries as well.

You will grow as a technologist and a leader. You'll develop deep expertise at the intersection of technology strategy and business value by addressing diverse architectural challenges. Working with inspiring, multidisciplinary teams, you'll gain a holistic understanding of enterprise AI while collaborating with leading AI and data experts in the industry.

 * U.S. Citizenship is required for this role (you must be able to be staffed on Critical Industries work which includes Government, Defense, Aerospace, Utilities, etc.)
 * Degree in Computer Science/Engineering, or equivalent experience
 * 5+ years of relevant professional experience in a data engineering role, with experience leading technical workstreams, mentoring junior engineers, and driving the adoption of software engineering best practices within a team
 * Expert-level proficiency in Python and SQL and the ability to work in polyglot environments (Scala, Java) when required by client enterprise systems
 * Strong experience building Agentic AI, Generative AI, Machine Learning, and Business Intelligence systems, including prompt design, retrieval-augmented generation (RAG), embeddings, vector databases, context construction, and output handling in production workflows using modern frameworks (Spark, LangChain, Databricks, Dask, Airflow, Dagster, Kedro, etc.)
 * Ability to lead the implementation of AI features end to end, with sound judgment around model behavior, evaluation, reliability, guardrails, and the trade-offs between quality, latency, and cost
 * Experience implementing robust data security and governance controls, including managing PII/PHI, authentication, and role-based access control (RBAC)
 * Deep knowledge of MLOps/LLMOps including CI/CD for data workflows, automated agent evaluation (LangSmith, Opik, Langfuse), and infrastructure as code (Terraform) across cloud providers (AWS, Azure, GCP)
 * Exceptional time management and ability to own technical workstreams autonomously
 * 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)