AI Data Engineer.
Columbia.
$144,000
median salary, 7% below the national average
$109,000 to $187,000. Last updated April 2026.
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Data points to own the conversation.
A AI Data Engineer in Columbia earns a median of $144,000 in 2026. That is 7% below the national average. The range runs from $109,000 to $187,000, and where you land depends on your experience, your skills, and how well you negotiate. AI data engineers who build and maintain ML data pipelines earn premiums based on scale of data handled and complexity of feature engineering systems.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $129,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$94,000
to $115,000
Mid (3-5 yrs)
$122,000
to $151,000
Senior (6-9 yrs)
$158,000
to $187,000
Lead (10+ yrs)
$180,000
to $223,000
Salary trend
+8% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $60,000 to the total package.
Base
$144,000
Equity
$36,000
Bonus
$15,000
Signing
$9,000
Estimated total: $204,000
How Columbia compares
Columbia, SC
$144,000
Cost of living: 10% below average
National Average
$155,000
Columbia is $11,000 below
AI Data Engineer salary by city
Salary by role in Columbia
What you should know
Here is what the AI Data Engineer market actually looks like in Columbia. Columbia is South Carolina's capital and home to Fort Jackson, the University of South Carolina, and a growing insurance and financial services sector. The city offers very affordable living and stable government and military employment. Tech growth is accelerating as remote work brings new residents. AI data engineers who build and maintain ML data pipelines earn premiums based on scale of data handled and complexity of feature engineering systems. Experience with streaming data platforms like Kafka alongside batch processing tools commands 10 to 20% higher pay. Cloud platform expertise in AWS, GCP, or Azure ML infrastructure is a baseline requirement.
Junior AI data engineers earn $118,000 to $140,000. Mid-level engineers with 3 to 5 years managing ML pipelines reach $155,000 to $200,000. Senior engineers and tech leads earn $205,000 to $270,000, while staff engineers and directors of ML infrastructure can command $290,000 to $380,000. In Columbia, cost of living sits near the national average, so the numbers you see are roughly what you keep.
Base salary is not the full picture. Tech companies offer equity grants of 15 to 25% of base salary with four-year vesting. Annual bonuses range from 10 to 15%, and on-call compensation for maintaining production ML pipelines adds $5,000 to $15,000 annually at some firms. And on the tax side: south Carolina's top income tax rate is 6.4%. Columbia has no city income tax. The moderate state rate is offset by very affordable housing and living costs. When someone quotes you $144,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Leverage government and military contractor pay scales. Columbia employers align with federal benchmarks which often exceed local private sector rates. The range for AI Data Engineers in Columbia runs from $109,000 to $187,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.
Sources: SEC filings, H-1B LCA (DOL), BLS OES, 50+ job posting platforms. COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified April 8, 2026. Full methodology
Considering a related role?
- A Full Stack AI Developer in Columbia earns $143,000 (1% less)
- The highest-paying role in Columbia is Distinguished Engineer at $306,000
Common questions.
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