Data Engineer

(NOC 2121)
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What do Data Engineer do?

Data scientists use advanced analytics technologies, including machine learning and predictive modelling, to support the identification of trends, scrape information from unstructured data sources and provide automated recommendations. They are employed by consulting firms, universities, banks and information technology departments in the private and public sectors.

How to become: Data Engineer


  • A bachelor's degree in statistics, mathematics, computer science, computer systems engineering or a related discipline or completion of a college program in computer science is usually required.
  • A master's or doctoral degree in machine learning, data science, or a related quantitative field is usually required.
  • Experience in programming is usually required.
  • Experience in statistical modelling or machine learning is usually required


Get more info on how to become an artificial intelligence (AI) specialist.

Where to study for a career as: Data Engineer

Long Island University
Brooklyn, New York, US

Related Program(s):
Artificial Intelligence (BS) Bachelor
Biochemistry (BS) Bachelor
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RMIT University
Melbourne CBD, AU

Related Program(s):
Science: Statistics Bachelor
Artificial Intelligence, MS Master
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Durham College
Oshawa, Ontario, CA

Related Program(s):
Artificial Intelligence Bachelor; Honours
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Bangor University
Bangor, Wales, GB

Related Program(s):
Data Science and Artificial Intelligence (BSc) Bachelor; Co-op; Honours
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King's College London
London, England, GB

Related Program(s):
Artificial Intelligence (BSc) Bachelor; Honours
Artificial Intelligence (BSc) with a Year in Industry Bachelor; Co-op; Honours
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Liberty University
Lynchburg, Virginia, US

Related Program(s):
Information Systems - Database Bachelor; Online
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Modified on August 17, 2023

How much do Data Engineer make?

Low:
$61,443
Average:
$102,710
High:
$150,010

Job openings for Data Engineer

Job Seekers:
48,800
Job Openings:
44,300