---
title: 'Data Engineer vs Data Scientist in 2027 | Salary, Skills & Which Career to Choose? | Simplilearn'
source: 'https://youtube.com/watch?v=Kyc94lguH_c'
video_id: 'Kyc94lguH_c'
date: 2026-10-25
duration_sec: 67
channel: 'Simplilearn'
---

# Data Engineer vs Data Scientist in 2027 | Salary, Skills & Which Career to Choose? | Simplilearn

> Source: [Data Engineer vs Data Scientist in 2027 | Salary, Skills & Which Career to Choose? | Simplilearn](https://youtube.com/watch?v=Kyc94lguH_c)

## Summary

This video compares data engineering and data science careers, highlighting market demand, salaries, and job fit. It uses an analogy to explain the roles and provides statistics on job postings and interview trends to guide career choice.

### Key Points

- **Data Engineer vs Data Scientist Roles** [00:02] — Data engineers collect, clean, and deliver data from multiple sources, while data scientists analyze it. The analogy: scientist is the chef, engineer builds the kitchen and keeps it running.
- **Market Demand Statistics** [00:15] — There are about 85,000 active data engineer postings in the US versus 52,000 for data scientists. Engineers earn roughly 8-15% more at every level.
- **Interview Activity Decline** [00:45] — Interview activity for data scientist roles fell 56% between September 2025 and June 2026, indicating a shift in hiring demand.
- **Career Fit Guidance** [00:57] — If you prefer working behind the scenes without notice, choose data engineering. If you enjoy testing ideas and asking 'What if?', choose data science.

### Conclusion

The video concludes that data engineering currently offers more job openings and higher pay, but the best choice depends on your personal preference for behind-the-scenes work versus exploratory analysis.

## Transcript

someone else's work, and that someone usually earns more. A data scientist with bad data is just an expensive guesser. Somebody has to collect it from 10 messy places, clean it, and deliver it on time every single day. That's the
data engineer. Think of a restaurant. The scientist is the chef plating the fancy dish, and the engineer built the kitchen, runs the supply, and keeps the gas on. If the engineers pipelines break, the scientists cannot work. The
market agrees. There are around 85,000 active data engineer postings in the US against about 52,000 for data scientists, and engineers earn roughly 8 to 15% more at every level. Meanwhile, interview activity for data scientist
interview activity for data scientist roles fell 56% between September 2025 and June 2026. So, which one fits you? If you like without anyone noticing, go data
engineering. If you like testing ideas and asking, "What if?" go data science.