Data Engineer to Data Scientist

Summary: 2 of the 6 core skills listed for Data Scientist carry over directly from Data Engineer, and 2 more build on related experience. The US median salary changes by +8% ($130K → $140K). Difficulty: Moderate, typically around 6 months of focused upskilling.

The two roles

Data Engineer: Build and maintain data pipelines and infrastructure for analytics.

Data Scientist: Extract insights from data using statistical analysis and machine learning. Growth outlook +35%; AI-resistant. Typical education: master. Typical experience: 2-4 years typical entry.

Skills that carry over

• Python
• SQL

Builds on related experience

• Statistics — builds on SQL
• Data Visualization — builds on SQL

Skills to learn for Data Scientist

• Machine Learning
• Communication

Salary comparison (median, estimated)

Salary figures are estimates benchmarked against public compensation data — see methodology.

Next steps

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Related

Data Engineer career guide | Data Scientist career guide

Other transitions to consider

• Data Engineer to Data Analyst — 4 of the core skills carry over
• Data Engineer to Database Administrator — 5 of the core skills carry over
• Data Engineer to ML/AI Engineer — 2 of the core skills carry over
• Data Engineer to Backend Developer — 6 of the core skills carry over
• Data Analyst to Data Scientist — 5 of the core skills carry over
• ML/AI Engineer to Data Scientist — 2 of the core skills carry over
• Business Analyst to Data Scientist — 4 of the core skills carry over
• Quantitative Analyst (Quant) to Data Scientist — 5 of the core skills carry over