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Salary comparison

Data Engineer vs Engineering Manager salary

Engineering Managers out-earn data engineers by about $34,660 at the median. Here is the full side-by-side breakdown — pay range, top states, and experience.

Engineering Managers earn more — a median of $167,740 versus $133,080 for data engineers, a gap of about $34,660 (26%). 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 →

Engineering Manager

Verified

$167,740

Median annual wage

Entry (10th pct)
$111,450
Top 10%
$239,200
Discipline
Architecture & Engineering
Engineering Manager salary details →
Exhibit 1

Data Engineer vs Engineering Manager — 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 percentileEngineering Manager$111,450
MedianEngineering Manager$167,740
90th percentileEngineering Manager$239,200
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

Engineering Manager

Entry level 0–2 yrs$131,000
Early career 3–5 yrs$157,500
Mid level 6–9 yrs$181,000
Senior 10–14 yrs$204,500
Principal / Staff 15+ yrs$226,500

Where each role pays most

Highest-paying states by published median wage.

Data Engineer

State-level figures aren't published for this title — see the Data Engineer page.

Engineering Manager

Which should you choose?

On pay alone, engineering managers earn about 26% more at the median — but location and specialization routinely move pay by more than that gap.

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 engineering manager if…

Engineering managers plan, direct, and coordinate activities in architecture and engineering, leading teams and owning technical delivery.

  • Team size and scope of responsibility
  • Industry (tech and oil & gas pay above average)
  • Years of management experience

Data Engineer vs Engineering Manager — frequently asked

Who earns more, data engineers or engineering managers?
Engineering Managers earn more at the median — $167,740 versus $133,080 for data engineers, a gap of about $34,660 (26%).
What is the salary range for data engineers vs engineering managers?
Data Engineers range from about $79,850 (10th percentile) to $211,450+ (90th), median $133,080. Engineering Managers range from $111,450 to $239,200+, median $167,740.
Should I become a data engineer or a engineering manager?
On pay alone, engineering managers earn about 26% more. 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 engineering managers set technical direction, manage engineers and budgets, coordinate projects, and own hiring and delivery outcomes. 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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