Data Engineer II: Build AI-Ready Data Pipelines

McKinsey & Company; Washington (District of Columbia); On-site; USD 146,600 - 150,000; Full time

Benefits offered by this job

Comprehensive benefits package

Continuous learning opportunities

Global community support

Job summary

McKinsey & Company is seeking a Data Engineer to develop the foundational data infrastructure for innovative AI applications. You will be part of a diverse team, designing scalable data pipelines and collaborating with experts across various industries to solve complex challenges.

This role requires a background in Computer Science and experience in data solutions, as well as proficiency in Python and SQL. Your contributions will directly support the evolution of AI capabilities within the firm.

Qualifications

• U.S. Citizenship is a requirement for this role.
• 2+ years of relevant professional experience building and deploying data solutions.
• Strong proficiency in Python and SQL for data engineering.

Responsibilities

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

Skills

Python

SQL

Data Engineering

MLOps

Machine Learning

Education

Degree in Computer Science/Engineering or equivalent experience

Tools

Databricks

Spark

dbt

Snowflake

BigQuery

Job description

McKinsey & Company is seeking a Data Engineer to develop the foundational data infrastructure for innovative AI applications. You will be part of a diverse team, designing scalable data pipelines and collaborating with experts across various industries to solve complex challenges.

This role requires a background in Computer Science and experience in data solutions, as well as proficiency in Python and SQL. Your contributions will directly support the evolution of AI capabilities within the firm.