Senior Data Engineer - Lead Scalable AI Pipelines & Impact

McKinsey & Company; Atlanta (GA); On-site; USD 120,000 - 155,000; Full time

Job summary

McKinsey & Company seeks a Senior Data Engineer to design and build scalable analytics platforms for the Life Sciences practice across North America. You’ll collaborate with data scientists, ML engineers, and industry experts to deploy agentic AI solutions and data pipelines, driving production-ready systems that enable impactful client outcomes.

This role offers hands-on work with cutting-edge technologies, cloud data platforms, and a path to leadership within a fast-growing asset-based

Qualifications

• Degree in computer science, business analytics, engineering, mathematics, or a related field.

Responsibilities

• Partner with global teams to design, deliver, and deploy differentiated advanced analytics and agentic solutions for Life Sciences.
• Help transform standalone pilots into production-ready systems for end-to-end workflows.
• Design and manage scalable data pipelines and secure analytics platforms; mentor team members.
• Collaborate with agile teams of data scientists and ML engineers to harness data for client value.

Skills

Python

SQL

PySpark

Data pipelines

Agentic AI

Generative AI

ML

LangChain

LangGraph

Terraform

AWS

Snowflake

BigQuery

dbt

Pandas

Spark

Education

Bachelor's degree in CS / related

Tools

Databricks

Snowflake

BigQuery

dbt

LangChain

LangGraph

Pandas

Spark

Terraform

CloudFormation

Job description

McKinsey & Company seeks a Senior Data Engineer to design and build scalable analytics platforms for the Life Sciences practice across North America. You’ll collaborate with data scientists, ML engineers, and industry experts to deploy agentic AI solutions and data pipelines, driving production-ready systems that enable impactful client outcomes.

This role offers hands-on work with cutting-edge technologies, cloud data platforms, and a path to leadership within a fast-growing asset-based