QuantumBlack, AI by McKinsey.
Washington DC

Data Engineer - QuantumBlack - University Students (Washington DC)

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This job posting is for current students only with a graduation date in the 2022-23 academic year. If you are currently working or have graduated, please apply to our experience professional posting.
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 Engineer, 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

Our tech stack:
While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more!
What you'll benefit from:
  • Real-World Impact - No project is ever the same, we work with top-tier clients across multiple sectors, providing unique learning and development opportunities internationally.
  • Fusing Tech & Leadership - We work with the latest technologies and methodologies and offer first-class learning programs at all levels.
  • Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
  • Innovative Work Culture - Creativity, insight, and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks, and training sessions.
  • Striving for Diversity - With colleagues from over 40 nationalities, we recognize the benefits of working with people from all walks of life.
  • Continuous development and progression - We offer an extensive choice of training sessions, ranging from workshops to international conferences, tailored to your needs as well as a personal mentorship system. We have multiple career paths and geographic locations to evolve within the Firm.
  • Global community - you'll learn from colleagues around the world by connecting both internally and externally through our various hosted meet-ups.

Non-students can apply to the non-campus version of this role.
Visit our Careers site to watch our video and read about our interview processes and benefits.
Qualifications
  • Undergraduate or Master's student with a graduation date in the 2022-23 academic year pursuing a degree in computer science, engineering, mathematics or other relevant field
  • 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
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Technology we use

  • Engineering
    • C++Languages
    • JavaLanguages
    • JavascriptLanguages
    • PythonLanguages
    • RLanguages
    • ScalaLanguages
    • SqlLanguages
    • jQueryLibraries
    • ReactLibraries
    • PandasLibraries
    • PySparkLibraries
    • DjangoFrameworks
    • HadoopFrameworks
    • JupyterFrameworks
    • Node.jsFrameworks
    • SparkFrameworks
    • TensorFlowFrameworks
    • TorchFrameworks
    • Google CloudFrameworks
    • AWS (Amazon Web Services)Frameworks
    • MS AzureFrameworks
    • HiveDatabases
    • Microsoft SQL ServerDatabases
    • MongoDBDatabases
    • SnowflakeDatabases
    • SQLiteDatabases
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What are QuantumBlack, AI by McKinsey. Perks + Benefits

Culture
Volunteer in local community
Friends outside of work
Open door policy
Team owned deliverables
Team based strategic planning
Group brainstorming sessions
Open office floor plan
Diversity
Dedicated Diversity/Inclusion Staff
Unconscious bias training
Hiring Practices that Promote Diversity
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Wellness Programs
Mental Health Benefits
Retirement & Stock Options Benefits
401(K)
Performance Bonus
Match charitable contributions
Child Care & Parental Leave Benefits
Child Care Benefits
Generous Parental Leave
Family Medical Leave
Adoption Assistance
Vacation & Time Off Benefits
Generous PTO
Paid Volunteer Time
Paid Holidays
Paid Sick Days
Perks & Discounts
Commuter Benefits
Company Outings
Stocked Kitchen
Happy Hours
Relocation Assistance
Professional Development Benefits
Job Training & Conferences
Tuition Reimbursement
Diversity Program
Lunch and learns
Cross functional training encouraged
Promote from within
Mentorship program
Time allotted for learning
Online course subscriptions available
Paid industry certifications

An Insider's view of QuantumBlack, AI by McKinsey.

How would you describe the company’s work-life balance?

Unique, awesome! Never had it this good. We establish team norms at the beginning of each engagement to tailor an extraordinary work/life balance, have more fulfilling and impactful workdays, and leave room for personal and family time day after day.

Ravi

Principal – Data Engineering, New York

What does your typical day look like?

The morning usually starts with check-in calls with the team. The afternoon includes problem-solving sessions with leadership to resolve roadblocks and align on next steps. Throughout the day, we have blocks of heads-down coding time to develop pipelines for data cleaning and transformation, feature engineering, etc.

Aisuluu

Senior Consultant – Data Engineering, Toronto

How does the company support your career growth?

Strong culture of encouraging people to proactively ask for and provide feedback. The company also emphasizes mentorship and apprenticeship which can provide opportunities and safe places for people to ask questions and get help if needed.

Tianfang

Data Engineering, Boston

What's the biggest problem your team is solving?

We are solving how to develop scalable machine learning tools that data scientists and engineers across our organization can use easily and quickly. We are doing this across many domains, including life sciences, GEM, banking, and more.

Sanjay

Junior Principal – Data Science, New York

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