Senior Data Engineer - AI & MLOps Lead

McKinsey & Company; Washington (District of Columbia); Hybrid; USD 175,500 - 180,000; Full time

Benefits offered by this job

Medical and dental coverage

Generous retirement contributions

Paid time off

Job summary

McKinsey & Company is looking for a Data Engineer in Washington DC. You will design and implement scalable data architectures for AI and drive technical workstreams, fostering collaboration with clients and cross-functional teams.

In this role, you will work predominantly in critical industries and leverage your expertise in AI and data to solve complex business problems, while mentoring junior colleagues and ensuring robust data governance.

This position offers a competitive salary range between $175,500 - $180,000, comprehensive benefits, and opportunities for mentorship in a global community.

Qualifications

• U.S. Citizenship is required for this role.
• 5+ years of relevant professional experience in a data engineering role.
• Expert-level proficiency in Python and SQL.

Responsibilities

• Design and lead the implementation of scalable data architectures.
• Develop data pipelines and manage secure data environments.
• Lead the integration of machine learning and AI capabilities into client solutions.

Skills

Python

SQL

Machine Learning

Generative AI

Data Security

Education

Degree in Computer Science/Engineering or equivalent experience

Tools

Spark

Airflow

Terraform

Job description

McKinsey & Company is looking for a Data Engineer in Washington DC. You will design and implement scalable data architectures for AI and drive technical workstreams, fostering collaboration with clients and cross-functional teams.

In this role, you will work predominantly in critical industries and leverage your expertise in AI and data to solve complex business problems, while mentoring junior colleagues and ensuring robust data governance.

This position offers a competitive salary range between $175,500 - $180,000, comprehensive benefits, and opportunities for mentorship in a global community.