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

Cardiff University
Cardiff, Wales, GB

Related Program(s):
Mathematics Operational Research and Statistics (BSc) Bachelor
Mathematics, Operational Research and Statistics (MMORS) Master
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IE University - Graduate Programs
Madrid, ES

Related Program(s):
Digital Marketing and Analytics Master
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Long Island University
Brooklyn, New York, US

Related Program(s):
Artificial Intelligence (BS) Bachelor
Biochemistry (BS) Bachelor
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Indiana Tech
Fort Wayne, Indiana, US

Related Program(s):
Artificial Intelligence, MSc Master; Online
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Carleton University
Ottawa, Ontario, CA

Related Program(s):
Statistics (BMath) Bachelor
Statistics (BMath) Bachelor; Honours
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Concordia University
Montreal, Quebec, CA

Related Program(s):
Statistics (BA, BSc) Bachelor; Co-op; Honours
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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