Data Engineer vs Blockchain Developer: Which Pays More?
Side-by-side salary comparison by city, experience level, and career growth outlook. Data reflects current market rates.
Data Engineer
Build and maintain data pipelines, warehouses, and ETL infrastructure.
Blockchain Developer
Build decentralised applications and smart contracts on blockchain.
Data Engineer earns more on average โ the national median is $3,520/year (3%) higher than a Blockchain Developer. However, salaries vary significantly by city, employer, and experience level โ see the city-by-city breakdown below.
Data Engineer vs Blockchain Developer โ Salary by City
National median figures in USD across top cities.
| City | Data Engineer | Blockchain Developer | Difference |
|---|---|---|---|
| San Francisco, CA | $202,499 | $192,216 | Data +$10,283 |
| New York, NY | $131,540 | $166,830 | Data $35,290 |
| Seattle, WA | $105,430 | $197,295 | Data $91,865 |
| Austin, TX | $153,836 | $148,358 | Data +$5,478 |
| Chicago, IL | $154,010 | $149,793 | Data +$4,217 |
| Boston, MA | $179,962 | $179,964 | Data $2 |
| London, UK | ยฃ108,711 | ยฃ104,478 | Data +$4,233 |
| Toronto, Canada | CA$181,115 | CA$182,210 | Data $1,095 |
Frequently Asked Questions
Does a Data Engineer or Blockchain Developer earn more?+
A Data Engineer earns more on average. The national median salary for a Data Engineer is $139,500/year, compared to $135,980/year for a Blockchain Developer โ a difference of $3,520 (3%).
Which has better career growth โ Data Engineer or Blockchain Developer?+
Data Engineer roles are growing at 34% YoY while Blockchain Developer demand is growing at 30% YoY. Data Engineer has stronger near-term demand growth.
Can you switch from Data Engineer to Blockchain Developer?+
Yes. Many professionals transition between these roles, especially since both are in the same category. Shared skills include: analytical thinking, communication, and industry knowledge.
Which is harder to automate โ Data Engineer or Blockchain Developer?+
Blockchain Developer has a lower AI automation risk (30% vs 42%). Based on Oxford Martin School and McKinsey 2023 analysis.