Home / Roles / Titles / Legal Counsel / NY / FY2017
Legal Counsel H-1B roles in NY, FY2017
Exact-title LCA role declarations for Legal Counsel in NY 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 $79,040 to $180,000.
Employers in the returned rows include Whitefort Capital Management LP, Sagewood Property Management, Spotify USA, Inc..
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 |
|---|---|---|---|---|---|---|---|---|
| LEGAL COUNSEL I-200-17125-663187 | Whitefort Capital Management LP | 23-1011 | CERTIFIED / H-1B FY2017 | 2017-05-18 | New York, NY, 10022 | $150,000 to $0 year | $123,552 | sr_dol_oflc_lca_2017_q2_row_470318 |
| LEGAL COUNSEL I-200-17081-428622 | Sagewood Property Management | 23-1011 | CERTIFIED / H-1B FY2017 | 2017-03-28 | New York, NY, 10151 | $79,040 to $0 hour | $79,040 | sr_dol_oflc_lca_2017_q2_row_386321 |
| LEGAL COUNSEL I-200-17013-124025 | Spotify USA, Inc. | 23-1011 | CERTIFIED / H-1B FY2017 | 2017-01-24 | New York, NY, 10011 | $160,000 to $180,000 year | $123,552 | sr_dol_oflc_lca_2017_q2_row_115645 |
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Frequently asked questions
- What are the offered H-1B wages for Legal Counsel H-1B roles in NY, FY2017?
- Offered wages among the returned Legal Counsel H-1B roles in NY, FY2017 rows range from $79,040 to $180,000 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=legal+counsel&title_match=exact&state=NY&fiscal_year=2017JSON