Healthcare Analytics Delivery Engineer

McKinsey; Newark (NJ); Hybrid; USD 92,000 - 95,000; Full time

Benefits offered by this job

Comprehensive benefits package

Flexible work options

Mentorship and development

Global community

Job summary

McKinsey & Company is seeking a data engineer for the SHaPE Software Delivery team in the U.S. You will build and maintain scalable data pipelines, ingest and transform client data, and ensure data quality, security, and reliability.

In a cross-functional, agile environment, you will collaborate with client stakeholders and internal teams across geographies to deliver analytics solutions and reusable data assets, while traveling up to 75% as needed.

Qualifications

• Bachelor's degree in Engineering, CS, Business, or related field; Master's preferred.
• 1+ years across teams with strong problem-solving and communication; healthcare or tech background preferred.
• Proficient with SQL and Databricks; Excel, PowerPoint, Tableau/Power BI skills; Python a plus.
• Experience translating business requirements into technical solutions and managing workload.
• Willingness to travel up to 75% as required by client engagements.

Responsibilities

• Ingest, transfer, and secure client data across data pipelines on a proprietary platform.
• Collaborate with stakeholders and cross-functional teams to deliver analytics solutions.
• Develop data models and reusable data assets; support problem-solving sessions.
• Deliver high-quality analytics products in a fast-paced, agile environment.

Skills

Problem solving

Communication

Team collaboration

Adaptability

Travel readiness

Education

Bachelor's degree

Master's degree preferred

Tools

Excel

PowerPoint

Tableau

Power BI

Imply

SQL

Databricks

Python

PySpark

Job description

McKinsey & Company is seeking a data engineer for the SHaPE Software Delivery team in the U.S. You will build and maintain scalable data pipelines, ingest and transform client data, and ensure data quality, security, and reliability.

In a cross-functional, agile environment, you will collaborate with client stakeholders and internal teams across geographies to deliver analytics solutions and reusable data assets, while traveling up to 75% as needed.