Senior Data Engineer - AI & MLOps Lead

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

Benefits offered by this job

Comprehensive benefits package

Continuous learning opportunities

Mentorship programs

Job summary

McKinsey & Company seeks a Data Engineering leader in Raleigh, North Carolina. In this role, you will own technical workstreams and design robust data architectures inspired by cutting-edge AI solutions. You will collaborate with multidisciplinary teams while tackling high-impact challenges across various industries.

Qualified applicants should have over 5 years of experience in a similar role and excel in Python, SQL, and modern AI frameworks. The position promises a competitive salary and comprehensive benefits emphasizing professional growth and development.

Qualifications

• 5+ years of experience in data engineering role.
• Expert-level proficiency in Python and SQL.
• Strong experience with MLOps/LLMOps.

Responsibilities

• Design and lead implementation of scalable data architectures.
• Mentor junior colleagues and lead cross-functional teams.
• Integrate machine learning capabilities into client solutions.

Skills

Python

SQL

Machine Learning

Generative AI

Data Governance

Education

Degree in Computer Science/Engineering

Tools

Spark

Databricks

Terraform

Job description

McKinsey & Company seeks a Data Engineering leader in Raleigh, North Carolina. In this role, you will own technical workstreams and design robust data architectures inspired by cutting-edge AI solutions. You will collaborate with multidisciplinary teams while tackling high-impact challenges across various industries.

Qualified applicants should have over 5 years of experience in a similar role and excel in Python, SQL, and modern AI frameworks. The position promises a competitive salary and comprehensive benefits emphasizing professional growth and development.