Data Engineer H-1B Salary in South Carolina 2026
Based on 176 certified LCA filings for Data Engineer roles in South Carolina (DOL FY2022–2026). Median wage: $120K. See national Data Engineer data →
Wage Level Breakdown, South Carolina
| DOL Wage Level | Filings | Share | Est. Lottery Odds |
|---|---|---|---|
| Level I | 16 | 9.5% | ~8% |
| Level II | 73 | 43.2% | ~22% |
| Level III | 34 | 20.1% | ~44% |
| Level IV | 46 | 27.2% | ~67% |
Top Data Engineer H-1B Cities in South Carolina
| City | Filings | Avg Wage |
|---|---|---|
| Fort Mill | 64 | $125K |
| Greenville | 23 | $102K |
| Indian Land | 21 | $140K |
| Tega Cay | 14 | $146K |
| Columbia | 10 | $104K |
| Spartanburg | 5 | $147K |
| TEGA CAY | 4 | $117K |
| FORT MILL | 3 | $103K |
| Lancaster | 3 | $143K |
| LANCASTER | 3 | $121K |
Top Data Engineer H-1B Employers in South Carolina
| Employer | Filings | Avg Wage |
|---|---|---|
| RBUS, Inc. | 29 | $118K |
| Purpose Financial, Inc. | 10 | $99K |
| LPL Financial LLC | 8 | $145K |
| V-Soft Consulting Group, INC | 4 | $86K |
| Integral Ad Science, Inc. | 3 | $211K |
| SANCTITYINTERNATIONAL LLC | 3 | $63K |
| SCHRILL TECHNOLOGIES INC | 3 | $107K |
| American Credit Acceptance, LLC | 3 | $148K |
Data Engineer H-1B Filings Trend, South Carolina
| Fiscal Year | Filings | Avg Wage |
|---|---|---|
| FY2021 | 3 | $114K |
| FY2022 | 36 | $113K |
| FY2023 | 31 | $124K |
| FY2024 | 49 | $120K |
| FY2025 | 51 | $122K |
| FY2026 | 6 | $129K |
Green Card (PERM) Sponsorship in South Carolina
Beyond H-1B, employers across all roles in South Carolina filed 11,054 PERM green-card petitions (9,168 certified) in DOL disclosure data 2007–2026, with a median offered wage of $33K. PERM (ETA-9089) is a separate DOL process from the H-1B LCA data above and isn't broken out by role in DOL's disclosure files. See full South Carolina state data →
Related Data
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Wage data aggregated from DOL LCA disclosure files (FY2022–2026), filtered to certified petitions with wages between $30K and $1M in South Carolina. Lottery-odds estimates reflect the 2026 wage-weighted selection model and are illustrative.