Home / Roles / Titles / Speech Therapy Pathologist / SD / FY2017
Speech Therapy Pathologist H-1B roles in SD, FY2017
Exact-title LCA role declarations for Speech Therapy Pathologist in SD during FY2017. Rows include employer, SOC, worksite, status, decision date, offered wage, prevailing wage, and source evidence. Showing 3 returned rows using keyset pagination.
Summary
This view lists 3 H-1B LCA role records.
Offered wages among the returned rows range from $58,240 to $0.
Employers in the returned rows include Avera McKennan.
LCA filings are labor-condition applications certified by the U.S. Department of Labor, not active job postings or approved USCIS H-1B petitions.
| Role | Employer | SOC | Status / visa | Decision | Worksite | Offered wage | Prevailing wage | Source |
|---|---|---|---|---|---|---|---|---|
| SPEECH THERAPY PATHOLOGIST I-200-16302-138296 | Avera McKennan | 29-1127 | CERTIFIED-WITHDRAWN / H-1B FY2017 | 2016-11-21 | Mitchell, SD, 57301 | $58,240 to $0 year | $42,203 | sr_dol_oflc_lca_2017_q2_row_050136 |
| SPEECH THERAPY PATHOLOGIST I-200-16302-994876 | Avera McKennan | 29-1127 | CERTIFIED / H-1B FY2017 | 2016-11-18 | Mitchell, SD, 57301 | $58,240 to $0 year | $42,203 | sr_dol_oflc_lca_2017_q2_row_048791 |
| SPEECH THERAPY PATHOLOGIST I-200-16319-541478 | Avera McKennan | 29-1127 | CERTIFIED / H-1B FY2017 | 2016-11-18 | Mitchell, SD, 57301 | $58,240 to $0 year | $42,203 | sr_dol_oflc_lca_2017_q2_row_049485 |
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Frequently asked questions
- What are the offered H-1B wages for Speech Therapy Pathologist H-1B roles in SD, FY2017?
- Offered wages among the returned Speech Therapy Pathologist H-1B roles in SD, FY2017 rows range from $58,240 to $0 in DOL LCA filings. LCA filings are labor-condition applications certified by the U.S. Department of Labor, not active job postings or approved USCIS H-1B petitions.
Get this page with API
Rendered from the bluedoor H-1B Jobs API. Reproduce it:
GET https://api.bluedoor.sh/h1b-jobs/v1/roles?limit=50&title=speech+therapy+pathologist&title_match=exact&state=SD&fiscal_year=2017JSON