Salary Comparison

Database Administrator vs Machine Learning Engineer Salary

Machine Learning Engineers earn approximately 65.0% more than Database Administrators nationally — $165,000 vs $100,000.

Database Administrator
$100,000
national median annual
Hourly (40 hr × 52 wk)
$48
Biweekly (26 paychecks)
$3,846
Monthly
$8,333
Category
Tech
Machine Learning Engineer
$165,000
national median annual
Hourly (40 hr × 52 wk)
$79
Biweekly (26 paychecks)
$6,346
Monthly
$13,750
Category
Tech
Difference
Annual difference
Machine Learning Engineer earn more than Database Administrator
+$65,000
Percentage difference
+65.0%
Hourly difference
+$31/hour
Monthly difference
+$5,417/month
Lifetime difference (40-yr career)
Naive — doesn't include compounding raises
+$2,600,000

Database Administrator vs Machine Learning Engineer: salary breakdown

On a national-median basis, Machine Learning Engineers out-earn Database Administrators by $65,000 per year — a 65.0% gap. That works out to roughly $5,417/month or $31/hour of difference.

Important context: these are MEDIANS — the middle salary in the country. Real-world variation is wide: entry-level roles in either career may pay 25-35% below median, while senior roles or specialized niches can pay 50-100%+ above. Your specific numbers depend on experience, location, employer, and credentials.

When does the salary gap matter most?

For someone choosing between these careers, the $65,000 annual difference compounds:

  • Over 10 years: ~$650,000 in raw salary difference
  • Over 40 years: ~$2,600,000 (without raises or compounding)
  • With 3% annual raises: the gap typically grows because the higher-paid role's raises are also larger in dollar terms
  • With investment compounding: the $65,000/year extra invested at 7% over 40 years grows to roughly $12,935,000 — significantly more than the raw difference

But salary isn't everything. Job satisfaction, work-life balance, growth potential, and career switching costs all matter. A career you can sustain for decades beats a higher-paying one you'll burn out on.

By state and city — significant variation

National medians are starting points. Real salaries vary 30%+ by location:

  • Database Administrator in California$118,000 (1.18× national)
  • Database Administrator in Mississippi$84,000 (0.84× national)
  • Machine Learning Engineer in California$194,700
  • Machine Learning Engineer in Mississippi$138,600

Use our Database Administrator salary by state pages to drill into specific locations.

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Frequently Asked Questions

Who earns more, a Database Administrator or a Machine Learning Engineer?
Nationally, Machine Learning Engineers earn approximately $165,000/year vs $100,000 for Database Administrators — a difference of $65,000 or 65.0%. Both numbers are medians; entry-level and senior roles in either field can vary widely from these figures.
What's the hourly difference?
Database Administrator: $48/hour. Machine Learning Engineer: $79/hour. Difference: $31/hour at standard 2,080 hours/year. This matters more for hourly-paid roles than salaried.
Are these national or state-specific salaries?
These are US national medians. Real salaries vary 30%+ by state and metro. A Database Administrator in San Francisco earns more than one in rural Mississippi, even with the same title. See our salary-by-state and salary-by-city pages for location-specific numbers.
Should I switch from Database Administrator to Machine Learning Engineer?
Salary is one factor. Also consider: education/training cost (some careers require years of school), job security and growth outlook, work-life balance, fit with your interests and strengths, and geographic flexibility. A higher-paying career you'll burn out on isn't worth more than a moderately-paid one you enjoy.
How do these salaries grow with experience?
Most professions see 30-50% growth from entry-level to senior over a 10-15 year career. Leadership roles (manager, director, executive) can double base salaries on top of that. Specialized skills (rare languages, niche expertise) command premium pay regardless of years. Continuous learning matters more than tenure alone.