Data Engineer - QuantumBlack

Location: Boston, MA 02116

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  • Degree in Computer Science, Engineering, Mathematics, or equivalent experience
  • 2+ years of relevant professional experience
  • Ability to write clean, maintainable, scalable and robust code in an object-oriented language, e.g., Python, Scala, Java, in a professional setting
  • Proven experience building data pipelines in production for advanced analytics use cases
  • Experience working across structured, semi-structured and unstructured data
  • Exposure to software engineering concepts and best practices, inc. DevOps, DataOps and MLOps would be considered a plus
  • Familiarity with distributed computing frameworks (e.g. Spark, Dask), cloud platforms (e.g. AWS, Azure, GCP), containerization, and analytics libraries (e.g. pandas, numpy, matplotlib)
  • Commercial client-facing or senior stakeholder management experience would be beneficial
  • Willingness to travel

Who You'll Work With

You will be based in our Boston, Chicago, Montreal, New York or Toronto offices, and will 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.
Visit our Careers site to watch our video and read about our interview processes and benefits.

*** Mention DataYoshi when applying ***

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