Senior Data Engineer - AI & MLOps Lead

McKinsey & Company; San Francisco (CA); On-site; USD 175,500 - 180,000; Full time

Benefits offered by this job

Comprehensive benefits package

Continuous learning and mentorship

Global community of diverse colleagues

Job summary

McKinsey & Company is seeking a Data Engineer based in San Francisco to design and implement scalable data architectures. The successful candidate will lead technical workstreams, mentor junior engineers, and collaborate with clients to deliver impactful AI solutions.

With over 5 years of expertise in Python, SQL, and AI systems, you'll tackle complex industry challenges and help shape innovative solutions across diverse sectors, thriving in a high-paced environment. Join us to build a meaningful career!

Qualifications

• 5+ years of relevant professional experience in a data engineering role.
• Experience leading technical workstreams and mentoring junior engineers.
• Ability to implement robust data security and governance controls.

Responsibilities

• Design and lead implementation of scalable data architectures.
• Manage secure and governed data environments.
• Collaborate with clients and cross‑functional teams.

Skills

Expert-level proficiency in Python

Proficiency in SQL

Experience with Scala and Java

Building Agentic AI and Generative AI

Strong communication skills in English

Education

Degree in Computer Science/Engineering

Tools

Spark

LangChain

Databricks

Terraform

Job description

McKinsey & Company is seeking a Data Engineer based in San Francisco to design and implement scalable data architectures. The successful candidate will lead technical workstreams, mentor junior engineers, and collaborate with clients to deliver impactful AI solutions.

With over 5 years of expertise in Python, SQL, and AI systems, you'll tackle complex industry challenges and help shape innovative solutions across diverse sectors, thriving in a high-paced environment. Join us to build a meaningful career!