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Data, Analytics, ML & AI

Data Engineer

Builds the pipelines and systems that make data usable at scale.

VerifiedLast verified: Jul 26, 2026

Career attributes

Editorial analysis
Remote compatibility82/100
Freelance compatibility50/100
People-facing35/100
IndependentPeople
Analytical vs creative80/100
CreativeAnalytical
Entry difficulty
High
Education
No degree required
Japanese
Basic
Certification
Helpful
Learning time
~18 months
Visa sponsorship
sometimes

What the role does

Data engineers design and maintain data pipelines, storage, and processing so analysts and models have reliable data.

Common tasks

  • Build ETL/ELT pipelines
  • Model and store data
  • Ensure data quality
  • Support analytics and ML teams

Entry routes

  • Move from software engineering or data analysis

Note

Editorial analysis

Usually not a first job; strong programming and SQL are expected.

Skills

PythonSQLCloud fundamentals

Certifications

Career transitions

Sources & methodology

  1. [1]Google Cloud Certification — GooglePrimary(accessed Jul 26, 2026)

Last verified: Jul 26, 2026 · Methodology · Report an error