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Salary comparison

AI Engineer vs Data Engineer salary

AI Engineers and Data Engineers earn about the same at the national median. Here is the full side-by-side breakdown.

AI Engineers and Data Engineers earn about the same at the national median — roughly $133,080 per year. Both figures are national benchmarks (one or both mapped from the nearest tracked occupation).

AI Engineer

Mapped est.

$133,080

Median annual wage

Entry (10th pct)
$79,850
Top 10%
$211,450
Discipline
Emerging
AI Engineer salary details →

Data Engineer

Mapped est.

$133,080

Median annual wage

Entry (10th pct)
$79,850
Top 10%
$211,450
Discipline
Emerging
Data Engineer salary details →
Exhibit 1

AI Engineer vs Data Engineer — pay distribution

Percentile-by-percentile comparison of national annual wages.

PercentileAnnual wage
10th percentileAI Engineer$79,850
MedianAI Engineer$133,080
90th percentileAI Engineer$211,450
10th percentileData Engineer$79,850
MedianData Engineer$133,080
90th percentileData Engineer$211,450
Source: national wage benchmarks for each occupation. Emerging titles are mapped to the nearest tracked occupation and labeled accordingly.

Pay by experience

Modeled progression from entry to principal level for each role (estimated from the national percentile curve).

AI Engineer

Entry level 0–2 yrs$104,000
Early career 3–5 yrs$125,000
Mid level 6–9 yrs$143,500
Senior 10–14 yrs$162,500
Principal / Staff 15+ yrs$179,500

Data Engineer

Entry level 0–2 yrs$104,000
Early career 3–5 yrs$125,000
Mid level 6–9 yrs$143,500
Senior 10–14 yrs$162,500
Principal / Staff 15+ yrs$179,500

Which should you choose?

On pay alone, the two are close at the median, so the decision comes down to the work itself.

Pick AI engineer if…

AI engineers build applications and systems powered by machine learning and large language models — one of the fastest-growing engineering roles, with pay that runs above the broader software baseline.

  • Frontier-lab vs. application-layer roles
  • Research vs. applied engineering
  • Years of experience and rare specialization

Pick data engineer if…

Data engineers build and maintain the pipelines and infrastructure that move and transform data at scale, powering analytics and machine learning across a company.

  • Cloud and big-data stack depth (Spark, Snowflake, dbt)
  • Company type (Big Tech vs. enterprise)
  • Years of experience and seniority

AI Engineer vs Data Engineer — frequently asked

Who earns more, AI engineers or data engineers?
AI Engineers and Data Engineers earn about the same at the national median ($133,080).
What is the salary range for AI engineers vs data engineers?
AI Engineers range from about $79,850 (10th percentile) to $211,450+ (90th), median $133,080. Data Engineers range from $79,850 to $211,450+, median $133,080.
Should I become a AI engineer or a data engineer?
On pay alone, the two are comparable at the median. But the right choice depends on the work: ai engineers focus on integrate and fine-tune ml/llm models, build ai-powered features and pipelines, and deploy and monitor models in production, while data engineers design data pipelines and warehouses, build etl/elt systems, and ensure data quality, reliability, and access for analytics and ml. Location and specialization move pay more than the title gap.
Source details

AI Engineer is not a BLS-tracked title; demand has pushed pay above the software baseline. BLS does not publish a separate wage for this title, so the figures shown are the published wage for BLS SOC 15-1252 Software Developers — the closest tracked occupation. Actual pay for this specialization can sit above or below it.

Benchmarks come from published government wage data via BLS OEWS. Local and emerging-role figures are labeled estimates. Full methodology →

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