SISU DATA, INC.

Professional, Scientific & Technical Services · Primarily CA · PERM filings 2020–2022

#9,901 top sponsor

Overview

SISU DATA, INC. is a Professional, Scientific & Technical Services employer that has filed 6 PERM green-card applications between FY2020 and FY2022. That places it #9,901 among all U.S. PERM sponsors in our dataset. 3 were certified (50% approval rate), taking about 153 days on average. The most-sponsored role is Software Developers, Systems Software, with most worksites in CA, and the median sponsored wage is $125,000.

6

PERM filings

50%

approval

0

denied

$125,000

median wage

153d

avg processing

Worker background

Across 6 filings with beneficiary data, the most common country of origin is ISRAEL (33%). (From legacy PERM form data, FY2020–FY2024.)

Top countries of origin

  • Israel2
  • Thailand1
  • India1
  • China1
  • Colombia1

Prior visa status

  • H-1B5
  • F-11

Education

  • Master's5
  • Bachelor's1

PERM filings by year

Occupations & job titles

The occupations SISU DATA, INC. most often sponsors, with average wages.

OccupationFilingsAvg wage
Software Developers, Systems Software 3 $118,097
Data Warehousing Specialists 2 $155,463
Software Developers 1 $107,640

Common job titles

Machine Learning Engineer 2 Software Engineer 2 Product Solution Lead 1 Solutions Engineer 1

Worksite states

CA 6

Wage range

$107,640

25th

$125,000

median

$150,925

75th

$150,925

90th

Law firms used

  • Reinhorn Law, Inc.6

Recent filings

CaseJob titleStatusWorksiteDecision
A-22126-51744 Software EngineerWithdrawn San Francisco, CA May 9, 2023
A-21223-30366 Software EngineerCertified San Francisco, CA May 17, 2022
A-21172-04567 Solutions EngineerCertified-Expired San Francisco, CA Dec 21, 2021
A-21020-44073 Machine Learning EngineerCertified San Francisco, CA Jul 6, 2021
A-20247-95593 Product Solution LeadCertified San Francisco, CA Jun 4, 2021
A-20247-95583 Machine Learning EngineerWithdrawn San Francisco, CA Jan 20, 2021

Source: U.S. DOL OFLC PERM disclosure data. Wages are annual-equivalent; outliers excluded.