DataFactZ, L.L.C.
Professional, Scientific & Technical Services · Primarily MI · PERM filings 2022–2024
Overview
DataFactZ, L.L.C. is a Professional, Scientific & Technical Services employer that has filed 6 PERM green-card applications between FY2022 and FY2024. That places it #11,722 among all U.S. PERM sponsors in our dataset. 6 were certified (100% approval rate), taking about 325 days on average. The most-sponsored role is Computer Occupation, All Other, with most worksites in MI, and the median sponsored wage is $100,943.
6
PERM filings
100%
approval
0
denied
$100,943
median wage
325d
avg processing
Worker background
Across 5 filings with beneficiary data, the most common country of origin is INDIA (100%). (From legacy PERM form data, FY2020–FY2024.)
Top countries of origin
- India5
Prior visa status
- H-1B5
Education
- Bachelor's3
- Master's2
PERM filings by year
Occupations & job titles
The occupations DataFactZ, L.L.C. most often sponsors, with average wages.
| Occupation | Filings | Avg wage |
|---|---|---|
| Computer Occupation, All Other | 3 | $100,942 |
| Software Developer | 2 | $117,166 |
| Software Developers | 1 | $123,781 |
Common job titles
Worksite states
Wage range
$100,942
25th
$100,943
median
$117,166
75th
$117,166
90th
Law firms used
- Law Offices of Amarnath Gowda, P.C.6
Recent filings
| Case | Job title | Status | Worksite | Decision |
|---|---|---|---|---|
| G-100-24085-827221 | Software Developer, Systems Software | Certified | Northville, MI | Jul 28, 2025 |
| A-22160-69438 | Database Administrator | Certified - Expired | Northville, MI | May 30, 2024 |
| A-22048-12784 | Business Intelligence Developer | Certified - Expired | Northville, MI | May 30, 2023 |
| A-21349-86584 | Business Intelligence Developer | Certified - Expired | Northville, MI | May 22, 2023 |
| A-22011-96460 | ETL Developer | Certified - Expired | Northville, MI | May 22, 2023 |
| A-22209-96367 | Business Intelligence Developer | Certified - Expired | Northville, MI | May 18, 2023 |
Source: U.S. DOL OFLC PERM disclosure data. Wages are annual-equivalent; outliers excluded.