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Data Engineering Co-Op - Remote

Primary Location United States Date posted 28-Jun-2022
Apply Now Job ID: JR0028718

Role Overview:

The Data Engineering Co-Op will develop and enhance advanced machine learning techniques, which will help drive data analysis for a wide range of information and product features.

About the Role:

  • Collaborating with engineers to formulate innovative machine learning solutions for cloud security
  • Developing of machine learning techniques on large data sets
  • Working on various technology stacks
  • Mining large and complex data sets for insights and converting the insights into product features
  • Working collaboratively with a team as well as independently
  • Executing a project from scratch to production on a timely basis
  • Communicating complex concepts and results in a clear and effective manner

This is a remote position in Canada. We will only consider candidates currently in Canada and are not offering relocation assistance at this time.

About you:

  • Studying Computer Science, Data Science, Software Engineering, Information Technology or related major
  • Working towards an undergraduate or master's degree


Company Overview

McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.

Company Benefits and Perks:

We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

  • Pension and Retirement Plans
  • Medical, Dental and Vision Coverage
  • Paid Time Off
  • Paid Parental Leave
  • Support for Community Involvement

We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

Apply Now

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