Data Engineer II — AI Data Infrastructure & Pipelines

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

Benefits offered by this job

Comprehensive benefits package

Continuous learning opportunities

Mentorship and resources for growth

Job summary

McKinsey & Company in Atlanta, Georgia is seeking a skilled Data Engineer to build foundational data infrastructure for AI applications. You'll collaborate with cross-functional teams, maintain data pipelines and contribute to innovative AI capabilities.

Ideal candidates will have a degree in Computer Science and proficiency in Python and SQL, with practical experience in developing data solutions. Join us to drive impactful AI development and enhance your leadership skills.

Qualifications

• 2+ years of relevant experience in data solutions.
• Proficient with modern frameworks and data preparation.
• Hands-on experience with cloud platforms.

Responsibilities

• Build foundational data infrastructure for AI applications.
• Design and maintain scalable data pipelines.
• Collaborate with cross-functional teams on AI solutions.

Skills

Proficiency in Python and SQL

Experience building data pipelines

Strong system design foundation

Familiarity with MLOps

Commercial client-facing experience

Strong communication skills

Education

Degree in Computer Science/Engineering

Tools

Pandas

Spark

Databricks

AWS

Job description

McKinsey & Company in Atlanta, Georgia is seeking a skilled Data Engineer to build foundational data infrastructure for AI applications. You'll collaborate with cross-functional teams, maintain data pipelines and contribute to innovative AI capabilities.

Ideal candidates will have a degree in Computer Science and proficiency in Python and SQL, with practical experience in developing data solutions. Join us to drive impactful AI development and enhance your leadership skills.