Data Pipeline Engineer (ML).
Charleston.
$158,000
median salary, at the national average
$120,000 to $208,000. Last updated April 2026.
Get the job.
Data points to own the conversation.
If you are evaluating a Data Pipeline Engineer (ML) offer in Charleston, SC, here is the reality: $120,000 to $208,000, with $158,000 as the midpoint. Right at the national average. ML data pipeline engineers earn salaries based on the scale and complexity of data systems they build and maintain. Do not accept the first number.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $142,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$103,000
to $126,000
Mid (3-5 yrs)
$134,000
to $166,000
Senior (6-9 yrs)
$174,000
to $205,000
Lead (10+ yrs)
$198,000
to $245,000
Salary trend
+4% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $42,000 to the total package.
Base
$158,000
Equity
$24,000
Bonus
$15,000
Signing
$3,000
Estimated total: $200,000
How Charleston compares
Charleston, SC
$158,000
Cost of living: 2% below average
National Average
$158,000
Same as local rate
Data Pipeline Engineer (ML) salary by city
Salary by role in Charleston
What you should know
Here is what the Data Pipeline Engineer (ML) market actually looks like in Charleston. Charleston is one of the South's fastest growing tech hubs, with Boeing, Volvo, and a wave of software companies establishing operations. The city's port drives significant logistics employment. Charleston's quality of life, moderate costs, and growing tech scene attract relocating professionals from across the country. ML data pipeline engineers earn salaries based on the scale and complexity of data systems they build and maintain. Engineers handling petabyte-scale training data pipelines for large model training earn 15 to 25% more than those working with smaller datasets. Experience with both batch and streaming architectures is a consistent salary booster across employers.
Junior ML pipeline engineers start at $120,000 to $142,000. Mid-level engineers managing production ML data flows earn $158,000 to $208,000. Senior engineers and infrastructure leads reach $215,000 to $280,000, while staff engineers designing organization-wide ML data platforms can command $290,000 to $370,000. In Charleston, 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 standard four-year vesting schedules. Annual performance bonuses range from 10 to 18%. On-call compensation for production pipeline maintenance adds $8,000 to $18,000 annually at some organizations. And on the tax side: south Carolina's top income tax rate is 6.4%. Charleston has no city income tax. The state rate is moderate, and the affordable cost of living keeps net pay competitive. When someone quotes you $158,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Highlight the Boeing and Volvo ecosystem when negotiating. Manufacturing and engineering employers in Charleston benchmark against national aerospace pay scales. The range for Data Pipeline Engineer (ML)s in Charleston runs from $120,000 to $208,000. 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 Airline Pilot in Charleston earns $159,000 (1% more)
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Common questions.
Data Pipeline Engineer (ML) salary in other cities
Other salaries in Charleston
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