Data Engineering Intern – QuantumBlack

• Undergraduate or master’s student with a graduation date in the 2023-2024 academic year pursuing a degree in computer science, engineering, mathematics or another 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

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.

You will design and build data pipelines for machine learning that are robust, modular, scalable, deployable, reproducible, and versioned. You will create and manage data environments and ensure information security standards are maintained at all times. Understanding our clients’ data landscape will be an important part of your role, as you will be required to assess data quality, map data fields to hypotheses, and curate, wrangle, and prepare data for use in advanced analytics models.

Throughout this internship, you will 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. You will also have the opportunity to contribute to R&D projects and internal asset development.

Who You’ll Work With

You will be based in Montreal, Canada 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.