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McKinsey & Company Data Engineering Intern - QuantumBlack in New York, New York

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Data Engineering Intern - QuantumBlack

You will join our North America internship program for 10 weeks, in one of our core QuantumBlack offices (New York, Boston, Chicago or Silicon Valley).

Who You'll Work With

You will be based in our North America offices, and will be part of our global data engineering community. You will work in cross-functional Agile project teams alongside data scientists, machine learning engineers, other data engineers, project managers, and industry experts. You will work hand-in-hand with our clients, from data owners, users, and fellow engineers to C-level executives.

Who you are
You are a highly collaborative individual who wants to solve problems that drive business value. You have a strong sense of ownership and enjoy hands-on technical work. Our values resonate with yours.

What You'll Do

As a Data Engineering Intern, you will:

Help to build and maintain the technical platform for advanced analytics engagements, spanning data science and data engineering work
Design and build data pipelines for machine learning that are robust, modular, scalable, deployable, reproducible, and versioned
Create and manage data environments and ensure information security standards are maintained at all times
Understand clients data landscape and assess data quality
Map data fields to hypotheses and curate, wrangle, and prepare data for use in advanced analytics models
Have the opportunity to contribute to R&D projects and internal asset development
Contribute to cross-functional problem-solving sessions with your team and our clients, from data owners and users to C-level executives, to address their needs and build impactful analytics solutions

Qualifications

University student with a graduation date of Spring/Summer 2022 pursuing a degree in computer science, engineering, mathematics or equivalent experience
Ability to write clean and maintainable code in an object-oriented language (e.g., Python, Scala, Java)
Experience building data pipelines in a professional setting (e.g., internship) is a plus
Familiarity with analytics libraries (e.g., pandas, numpy, matplotlib), distributed computing frameworks (e.g., Spark, Dask) and cloud platforms (e.g., AWS, Azure, GCP)
Exposure to software engineering concepts and best practices including DevOps, DataOps and MLOps is beneficial
Willingness to travel

COVID-19 vaccination mandate:

Employment with McKinsey & Company, Inc. in the United States and Canada is conditioned on proof of full vaccination against the COVID-19 virus (with a WHO-approved or Health Canada-approved COVID-19 vaccine, as applicable) or approval of an exemption due to a qualifying medical condition or sincerely held religious belief prior to start date.

FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer.
All qualified applicants will receive consideration for employment without regard to sex, gender
identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran
status, age, or any other characteristic protected by applicable law.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details
regarding our global EEO policy and diversity initiatives, please visit our
and
sites.

Job Skill Group - CSS Associate Short Term

Job Skill Code - ECI - Expert Consulting Intern

Function - Technology

Industry - High Tech

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Equal Opportunity Employment Disclaimer

McKinsey & Company is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, and other protected characteristics.

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