Senior Data Engineer - AI & MLOps Lead

McKinsey & Company; New York (NY); On-site; USD 175,500 - 180,000; Full time

Benefits offered by this job

Flexible hours

Comprehensive medical coverage

Retirement contributions program

Job summary

McKinsey & Company is seeking a Data Engineer to design and lead scalable AI data architectures in New York. You will mentor junior engineers and manage data environments, working alongside technical teams to tackle complex challenges.

Your role includes integrating generative AI and ensuring data security. Strong expertise in Python, SQL, and MLOps is essential. This position offers a rich benefits package and the opportunity for growth within a supportive environment.

Qualifications

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

Responsibilities

• Design and lead scalable data architectures for AI systems.
• Manage secure data environments and mentor junior colleagues.
• Own and deliver technical workstreams related to AI solutions.

Skills

Python

SQL

MLOps/LLMOps

Data governance

AI systems

Education

Degree in Computer Science/Engineering or equivalent experience

Tools

Databricks

Spark

Terraform

Job description

McKinsey & Company is seeking a Data Engineer to design and lead scalable AI data architectures in New York. You will mentor junior engineers and manage data environments, working alongside technical teams to tackle complex challenges.

Your role includes integrating generative AI and ensuring data security. Strong expertise in Python, SQL, and MLOps is essential. This position offers a rich benefits package and the opportunity for growth within a supportive environment.