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Sr Data Engineer H-1B roles in CT, FY2019

Exact-title LCA role declarations for Sr Data Engineer in CT during FY2019. Rows include employer, SOC, worksite, status, decision date, offered wage, prevailing wage, and source evidence. Showing 3 returned rows using keyset pagination.

Summary

This view lists 3 H-1B LCA role records.

Offered wages among the returned rows range from $89,700 to $149,000.

Employers in the returned rows include Hartford Fire Insurance Company.

LCA filings are labor-condition applications certified by the U.S. Department of Labor, not active job postings or approved USCIS H-1B petitions.

RoleEmployerSOCStatus / visaDecisionWorksiteOffered wagePrevailing wageSource
SR DATA ENGINEER
I-200-19261-223274
Hartford Fire Insurance Company15-1132
SOFTWARE DEVELOPERS, APPLICATIONS
CERTIFIED / H-1B
FY2019
2019-09-24
2019-09-25 to 2022-09-24
Hartford, CT, 6155$89,700 to $149,000
year
$86,133sr_dol_oflc_lca_2019_q2_row_392425
SR DATA ENGINEER
I-200-19128-885950
Hartford Fire Insurance Company15-1132
SOFTWARE DEVELOPERS, APPLICATIONS
CERTIFIED / H-1B
FY2019
2019-05-15
2019-05-20 to 2022-05-19
Hartford, CT, 6155$114,650 to $145,900
year
$114,650sr_dol_oflc_lca_2019_q2_row_339902
SR DATA ENGINEER
I-200-19056-366802
Hartford Fire Insurance Company15-1132
SOFTWARE DEVELOPERS, APPLICATIONS
CERTIFIED / H-1B
FY2019
2019-03-04
2019-08-01 to 2022-07-31
Hartford, CT, 6155$114,650 to $145,900
year
$114,650sr_dol_oflc_lca_2019_q2_row_254485
End of returned pageReset

Frequently asked questions

What are the offered H-1B wages for Sr Data Engineer H-1B roles in CT, FY2019?
Offered wages among the returned Sr Data Engineer H-1B roles in CT, FY2019 rows range from $89,700 to $149,000 in DOL LCA filings. LCA filings are labor-condition applications certified by the U.S. Department of Labor, not active job postings or approved USCIS H-1B petitions.
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Rendered from the bluedoor H-1B Jobs API. Reproduce it:

GET https://api.bluedoor.sh/h1b-jobs/v1/roles?limit=50&title=sr+data+engineer&title_match=exact&state=CT&fiscal_year=2019JSON