Data Engineer II — AI Data Infrastructure & Pipelines

McKinsey & Company; Raleigh (NC); On-site; USD 146,600 - 150,000; Full time

Benefits offered by this job

Comprehensive benefits package

Continuous learning opportunities

Diversity and inclusion initiatives

Job summary

McKinsey & Company in Raleigh, North Carolina, is seeking a Data Engineer to build foundational data infrastructure for cutting-edge AI applications. You will work alongside cross-functional teams, contributing to next-generation AI systems and tackling real-world challenges. With a focus on collaboration, you will help design scalable data pipelines and manage secure data environments, directly impacting clients' success.

This role offers the chance to grow your skills while providing mentorship and resources to accelerate your development. Candidates should possess a degree in Computer Science or Engineering, along with a strong background in Python, SQL, and data solutions.

Qualifications

• 2+ years of relevant professional experience building and deploying data solutions.
• Strong proficiency in Python and SQL for data engineering.
• Experience building end-to-end data pipelines for AI or BI platforms.

Responsibilities

• Build foundational data infrastructure for AI applications.
• Design and maintain scalable data pipelines.
• Collaborate with Data Scientists and Machine Learning Engineers.

Skills

Python

SQL

Data engineering

MLOps

Cloud platforms (AWS, Azure, GCP)

Strong communication skills

System design

Commercial client-facing experience

Education

Degree in Computer Science/Engineering

Tools

Databricks

Snowflake

Pandas

Terraform

Job description

McKinsey & Company in Raleigh, North Carolina, is seeking a Data Engineer to build foundational data infrastructure for cutting-edge AI applications. You will work alongside cross-functional teams, contributing to next-generation AI systems and tackling real-world challenges. With a focus on collaboration, you will help design scalable data pipelines and manage secure data environments, directly impacting clients' success.

This role offers the chance to grow your skills while providing mentorship and resources to accelerate your development. Candidates should possess a degree in Computer Science or Engineering, along with a strong background in Python, SQL, and data solutions.