Data Engineer II: Build AI-Ready Data Pipelines

McKinsey & Company; Newark (NJ); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

World-class benefits

Mentorship opportunities

Continuous learning environment

Job summary

McKinsey & Company in Newark is seeking a Data Engineer II who will design and optimize modern data platforms that enable advanced analytics and AI solutions. You'll collaborate with interdisciplinary teams to build scalable pipelines and manage secure data environments, driving significant impact across various industries.

The ideal candidate will have a degree in a related field, proficiency in programming languages like Python and SQL, and experience with cloud platforms. This position offers substantial growth opportunities and the chance to work in a dynamic global environment.

Qualifications

• 2+ years of professional experience in data engineering or related technical roles.
• Hands-on experience with cloud platforms and data storage solutions.
• Familiarity with workflow orchestration tools and DataOps principles.

Responsibilities

• Design and optimize data platforms for advanced analytics.
• Collaborate with teams to manage secure data environments.
• Develop streaming data platforms for predictive maintenance.

Skills

Proficient in Python

SQL skills

Experience with cloud platforms

Knowledge of distributed systems

Strong communication abilities

Education

Degree in Computer Science, Business Analytics, Engineering, or related field

Tools

AWS

GCP

Databricks

Airflow

Terraform

Job description

McKinsey & Company in Newark is seeking a Data Engineer II who will design and optimize modern data platforms that enable advanced analytics and AI solutions. You'll collaborate with interdisciplinary teams to build scalable pipelines and manage secure data environments, driving significant impact across various industries.

The ideal candidate will have a degree in a related field, proficiency in programming languages like Python and SQL, and experience with cloud platforms. This position offers substantial growth opportunities and the chance to work in a dynamic global environment.