CHAINSYS CORPORATION

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

#3,151 top sponsor

Overview

CHAINSYS CORPORATION is a Professional, Scientific & Technical Services employer that has filed 27 PERM green-card applications between FY2020 and FY2022. That places it #3,151 among all U.S. PERM sponsors in our dataset. 25 were certified (92.6% approval rate), taking about 236 days on average. The most-sponsored role is Software Developers, Applications, with most worksites in MI, and the median sponsored wage is $85,000.

27

PERM filings

92.6%

approval

0

denied

$85,000

median wage

236d

avg processing

Worker background

Across 27 filings with beneficiary data, the most common country of origin is INDIA (100%). (From legacy PERM form data, FY2020–FY2024.)

Top countries of origin

  • India27

Prior visa status

  • H-1B27

Education

  • Bachelor's18
  • Master's9

PERM filings by year

Occupations & job titles

The occupations CHAINSYS CORPORATION most often sponsors, with average wages.

OccupationFilingsAvg wage
Software Developers, Applications 21 $83,766
Computer Systems Analysts 5 $81,600
Software Developers, Systems Software 1 $91,458

Common job titles

Software Developer 23 Systems Analyst 2 Software Engineer 1 Business Analyst 1

Worksite states

Wage range

$78,624

25th

$85,000

median

$88,878

75th

$90,000

90th

Law firms used

  • TransNational Legal Services, P.C.27

Recent filings

CaseJob titleStatusWorksiteDecision
A-20052-21932 Software DeveloperCertified Grand Ledge, MI Jul 31, 2020
A-20017-08538 Software DeveloperCertified Grand Ledge, MI Jun 4, 2020
A-20008-04287 Software DeveloperCertified Grand Ledge, MI Jun 4, 2020
A-19319-83730 Software DeveloperCertified Grand Ledge, MI May 19, 2020
A-19318-82977 Software DeveloperCertified Grand Ledge, MI May 14, 2020
A-19318-83153 Software DeveloperCertified Grand Ledge, MI May 14, 2020
A-19318-83046 Systems AnalystCertified Grand Ledge, MI May 14, 2020

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