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Salary comparison

Data Engineer vs Machine Learning Engineer salary

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

Data Engineers and Machine Learning 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).

Data Engineer

Mapped est.

$133,080

Median annual wage

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

Machine Learning Engineer

Mapped est.

$133,080

Median annual wage

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

Data Engineer vs Machine Learning Engineer — pay distribution

Percentile-by-percentile comparison of national annual wages.

PercentileAnnual wage
10th percentileData Engineer$79,850
MedianData Engineer$133,080
90th percentileData Engineer$211,450
10th percentileMachine Learning Engineer$79,850
MedianMachine Learning Engineer$133,080
90th percentileMachine Learning 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).

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

Machine Learning 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 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

Pick machine learning engineer if…

Machine learning engineers design, train, and deploy ML models inside production systems, owning everything from data pipelines to live model monitoring.

  • Research vs. production ML focus
  • Company type (Big Tech and AI labs pay a premium)
  • Years of experience

Data Engineer vs Machine Learning Engineer — frequently asked

Who earns more, data engineers or machine learning engineers?
Data Engineers and Machine Learning Engineers earn about the same at the national median ($133,080).
What is the salary range for data engineers vs machine learning engineers?
Data Engineers range from about $79,850 (10th percentile) to $211,450+ (90th), median $133,080. Machine Learning Engineers range from $79,850 to $211,450+, median $133,080.
Should I become a data engineer or a machine learning engineer?
On pay alone, the two are comparable at the median. But the right choice depends on the work: data engineers focus on design data pipelines and warehouses, build etl/elt systems, and ensure data quality, reliability, and access for analytics and ml, while machine learning engineers build training and inference pipelines, productionize models, and own model performance, monitoring, and scaling. Location and specialization move pay more than the title gap.
Source details

Data Engineer is not a BLS-tracked title. 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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