Data Delivery & Analytics Engineer (Hybrid)

McKinsey & Company; San Francisco (CA); Hybrid; USD 92,000 - 95,000; Full time

Job summary

McKinsey & Company, in the United States, seeks a data engineer to support the SHaPE Software Delivery team across client engagements. You will help ingest and transform data, ensure quality and security, and build scalable pipelines and models for advanced analytics.

You will collaborate with client stakeholders and internal teams in a fast-paced, agile environment, applying your technical, analytical, and communication skills to deliver impactful analytics products and reusable data assets.

Qualifications

• Bachelor's degree in engineering, CS, business, or related field.
• 1+ years of experience across teams with delivery of outcomes.
• Experience in healthcare or technology industry preferred.

Responsibilities

• Support data delivery with secure data platform.
• Ingest, transfer, and ensure data quality and security.
• Build data pipelines and data models for analytics use cases.
• Collaborate across teams in an agile environment.

Skills

Data engineering

SQL

Python

Communication

Problem-solving

Education

Bachelor's degree

Tools

Databricks

Tableau

Power BI

Excel

PowerPoint

Job description

McKinsey & Company, in the United States, seeks a data engineer to support the SHaPE Software Delivery team across client engagements. You will help ingest and transform data, ensure quality and security, and build scalable pipelines and models for advanced analytics.

You will collaborate with client stakeholders and internal teams in a fast-paced, agile environment, applying your technical, analytical, and communication skills to deliver impactful analytics products and reusable data assets.