Senior Data Engineer - AI & MLOps Lead

McKinsey & Company; Chicago (IL); On-site; USD 175,500 - 180,000; Full time

Benefits offered by this job

Comprehensive benefits package

Continuous learning and mentorship

Global community with diverse colleagues

Job summary

McKinsey & Company in Chicago seeks a Data Engineer to design and implement scalable data architectures for AI systems. You will manage data pipelines and mentor junior engineers while collaborating with cross-functional teams.

Your role includes leading the integration of machine learning capabilities into client solutions and optimizing data assets for AI models. Join us to tackle complex challenges and drive meaningful client impact through technological innovation.

Qualifications

• U.S. Citizenship required for this role.
• 5+ years of relevant professional experience in data engineering.
• Expert-level proficiency in Python and SQL.

Responsibilities

• Design and lead robust data architectures.
• Manage secure data environments and mentor junior colleagues.
• Integrate AI capabilities into client solutions.

Skills

Python

SQL

Generative AI

Machine Learning

Data security

MLOps

Communication

Education

Degree in Computer Science/Engineering or equivalent experience

Tools

Spark

Databricks

Terraform

Job description

McKinsey & Company in Chicago seeks a Data Engineer to design and implement scalable data architectures for AI systems. You will manage data pipelines and mentor junior engineers while collaborating with cross-functional teams.

Your role includes leading the integration of machine learning capabilities into client solutions and optimizing data assets for AI models. Join us to tackle complex challenges and drive meaningful client impact through technological innovation.