Home / Roles / Titles / Software Engineer Rt Predictive Analytics Platform / CA / FY2017
Software Engineer Rt Predictive Analytics Platform H-1B roles in CA, FY2017
Exact-title LCA role declarations for Software Engineer Rt Predictive Analytics Platform in CA during FY2017. Rows include employer, SOC, worksite, status, decision date, offered wage, prevailing wage, and source evidence. Showing 2 returned rows using keyset pagination.
Summary
This view lists 2 H-1B LCA role records.
Offered wages among the returned rows range from $110,000 to $0.
Employers in the returned rows include 24/7 CUSTOMER, 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 |
|---|---|---|---|---|---|---|---|---|
| SOFTWARE ENGINEER RT PREDICTIVE ANALYTICS PLATFORM I-200-17076-211177 | 24/7 CUSTOMER, INC. | 15-1132 | CERTIFIED / H-1B FY2017 | 2017-03-23 | Campbell, CA, 95008 | $110,000 to $0 year | $102,149 | sr_dol_oflc_lca_2017_q2_row_347345 |
| SOFTWARE ENGINEER RT PREDICTIVE ANALYTICS PLATFORM I-200-17072-062929 | 24/7 CUSTOMER, INC. | 15-1132 | CERTIFIED / H-1B FY2017 | 2017-03-20 | Campbell, CA, 95008 | $110,000 to $0 year | $102,149 | sr_dol_oflc_lca_2017_q2_row_311577 |
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Frequently asked questions
- What are the offered H-1B wages for Software Engineer Rt Predictive Analytics Platform H-1B roles in CA, FY2017?
- Offered wages among the returned Software Engineer Rt Predictive Analytics Platform H-1B roles in CA, FY2017 rows range from $110,000 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=software+engineer+rt+predictive+analytics+platform&title_match=exact&state=CA&fiscal_year=2017JSON