Sequent Global Technologies Inc
Professional, Scientific & Technical Services · Primarily NJ · PERM filings 2022–2022
Overview
Sequent Global Technologies Inc is a Professional, Scientific & Technical Services employer that has filed 7 PERM green-card applications in FY2022. That places it #10,433 among all U.S. PERM sponsors in our dataset. 0 were certified (0% approval rate), taking about 285 days on average. The most-sponsored role is Computer Systems Analysts, with most worksites in NJ, and the median sponsored wage is $93,000.
7
PERM filings
0%
approval
0
denied
$93,000
median wage
285d
avg processing
Worker background
Across 7 filings with beneficiary data, the most common country of origin is INDIA (100%). (From legacy PERM form data, FY2020–FY2024.)
Top countries of origin
- India7
Prior visa status
- H-1B7
Education
- Master's7
Occupations & job titles
The occupations Sequent Global Technologies Inc most often sponsors, with average wages.
| Occupation | Filings | Avg wage |
|---|---|---|
| Computer Systems Analysts | 4 | $93,000 |
| Software Developers, Applications | 3 | $102,000 |
Common job titles
Worksite states
Wage range
$93,000
25th
$93,000
median
$102,000
75th
$102,000
90th
Recent filings
| Case | Job title | Status | Worksite | Decision |
|---|---|---|---|---|
| A-22153-65091 | Software Developers, Applications | Certified - Expired | Somerset, NJ | Mar 29, 2023 |
| A-22154-65655 | Software Developers, Applications | Certified - Expired | Somerset, NJ | Mar 27, 2023 |
| A-22154-65932 | Computer Systems Analysts | Certified - Expired | Somerset, NJ | Mar 22, 2023 |
| A-22154-65998 | Computer Systems Analysts | Certified - Expired | Somerset, NJ | Mar 22, 2023 |
| A-22154-66033 | Computer Systems Analysts | Certified - Expired | Somerset, NJ | Mar 22, 2023 |
| A-22160-68856 | Software Developers, Applications | Certified - Expired | Somerset, NJ | Mar 22, 2023 |
| A-22175-78241 | Computer Systems Analysts | Certified - Expired | Somerset, NJ | Mar 20, 2023 |
Source: U.S. DOL OFLC PERM disclosure data. Wages are annual-equivalent; outliers excluded.