Luzco Technologies, LLC
Professional, Scientific & Technical Services · Primarily MO · PERM filings 2022–2024
Overview
Luzco Technologies, LLC is a Professional, Scientific & Technical Services employer that has filed 6 PERM green-card applications between FY2022 and FY2024. That places it #10,340 among all U.S. PERM sponsors in our dataset. 4 were certified (66.7% approval rate), taking about 401 days on average. The most-sponsored role is Electrical Engineers, with most worksites in MO, and the median sponsored wage is $79,794.
6
PERM filings
66.7%
approval
0
denied
$79,794
median wage
401d
avg processing
Worker background
Across 1 filings with beneficiary data, the most common country of origin is VENEZUELA (100%). (From legacy PERM form data, FY2020–FY2024.)
Top countries of origin
- Venezuela1
Prior visa status
- H-1B1
Education
- Bachelor's1
PERM filings by year
Occupations & job titles
The occupations Luzco Technologies, LLC most often sponsors, with average wages.
| Occupation | Filings | Avg wage |
|---|---|---|
| Electrical Engineers | 3 | $89,487 |
| Industrial Engineers | 1 | $79,794 |
| Project Management Specialists | 1 | $100,000 |
Common job titles
Worksite states
Wage range
$75,000
25th
$79,794
median
$121,118
75th
$121,118
90th
Law firms used
- THOMPSON COBURN LLP5
- Stinson LLP1
Recent filings
| Case | Job title | Status | Worksite | Decision |
|---|---|---|---|---|
| G-100-24212-232674 | Senior Electrica Engineer - Protection & Controls | Certified | St. Louis, MO | Nov 24, 2025 |
| G-100-24065-771979 | Engineer II - Substation Engineering | Certified | St. Louis, MO | Jul 7, 2025 |
| G-100-23338-542193 | Project Manager 1 | Certified | St. Louis, MO | May 14, 2025 |
| G-100-23312-487171 | Project Manager 2 | Certified | St. Louis, MO | Apr 1, 2025 |
| G-100-24197-196949 | Senior Electrica Engineer - Protection & Controls | Withdrawn | St. Louis, MO | Jul 15, 2024 |
| A-22335-66060 | Electrical Engineer | Certified-Expired | St. Louis, MO | Jan 17, 2024 |
Source: U.S. DOL OFLC PERM disclosure data. Wages are annual-equivalent; outliers excluded.