Data Engineer vs Data Scientist Salary in 2026: Full Comparison
Data engineers earn $108K median vs data scientists at $112K in 2026. But data engineers are growing faster (+26% vs +22%). Full BLS comparison by city and level.
Data engineer vs data scientist is one of the most common career questions in tech. The salary gap between the two roles is smaller than most people think — and the demand trajectories point to data engineering growing faster over the next 3 years.
Head-to-Head Salary Comparison (2026)
| Metric | Data Engineer | Data Scientist |
|---|---|---|
| National Median | $108,000 | $112,000 |
| Entry Level | $74,000 | $73,000 |
| P75 | $142,000 | $148,000 |
| P90 | $176,000 | $178,000 |
| YoY Demand Growth | +26% | +22% |
| AI Automation Risk | 32% | 38% |
| Required Degree | BS CS/Engineering | MS preferred |
Data scientists earn 4% more at median, but data engineers have faster demand growth and lower automation risk (data engineering requires deep systems knowledge that is harder to automate than model-building).
By City
| City | Data Engineer | Data Scientist | Edge |
|---|---|---|---|
| San Francisco | $158,000 | $162,000 | DS |
| New York | $144,000 | $141,000 | DE |
| Seattle | $151,000 | $148,000 | DE |
| Austin | $116,000 | $118,000 | DS |
| Remote | $103,000 | $108,000 | DS |
New York and Seattle pay data engineers more — reflecting the dominance of financial and cloud infrastructure employers in those markets.
What Each Role Actually Does
| Dimension | Data Engineer | Data Scientist |
|---|---|---|
| Core work | Build data pipelines, manage warehouses | Build models, run experiments, analyse data |
| Primary output | Reliable, fast data infrastructure | Insights, models, predictions |
| Main tools | Spark, dbt, Airflow, Kafka, Snowflake | Python, R, scikit-learn, PyTorch |
| Closest analogy | Software engineer for data | Researcher who codes |
| Day-to-day | Engineering, debugging, scaling | Analysis, modelling, presentations |
Which Has a Better Career Ceiling?
| Level | Data Engineer Path | Data Scientist Path |
|---|---|---|
| Senior | $142,000 → $176,000 | $148,000 → $178,000 |
| Principal/Staff | $185,000–$220,000 | $175,000–$215,000 |
| Director | $200,000–$260,000 | $195,000–$255,000 |
Ceiling is roughly equivalent. Data scientists who can do production ML engineering earn ML Engineer rates ($147,000+).
The ML Engineer Intersection
The highest pay sits at the intersection of both roles:
ML Engineer = Data Science skills + Data Engineering skills
2026 Median: $147,000 (+31% over DS median, +36% over DE median)
If you are a data scientist who can build production pipelines, or a data engineer who can build models, repositioning as an ML engineer is the highest-ROI career move.
Frequently Asked Questions
Do data engineers or data scientists earn more in 2026? Data scientists earn slightly more at median ($112K vs $108K). At P75, data scientists earn $148K vs data engineers at $142K.
Is data engineering or data science easier to get into? Data engineering is generally considered more accessible — it is closer to software engineering, which has clearer portfolio requirements. Data science often requires an MS or PhD for competitive roles.
What pays more: data engineer or software engineer? Software engineers earn more at median ($127K vs $108K). However, senior data engineers with cloud architecture skills approach software engineering P75 levels.
Source: BLS OEWS 2024.
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