Remington Hotels, LLC H-1B wage filings

Dallas, TX. Last filed in fiscal 2025. Figures cover every filing since fiscal 2020; none in the latest 12 months reach five.

Remington Hotels, LLC filed 9 wage applications for H-1B and similar visas from fiscal 2022 to fiscal 2025. The median wage it offered was $93,215, 5.9% above the government's prevailing wage for the same jobs. Its most-filed job was Business Intelligence Analyst (3 filings, median $93,215).

Filings since FY2022
9
Positions covered
9
Certified
100.0%
Job titles
6
Worksite cities
1
Last filed
FY2025

Offered wage since 2022

Remington Hotels, LLC made 9 filings across 4 fiscal years since 2022, too few in most years to track the wage year by year. Its busiest full year was fiscal 2024, with 3 filings.

Middle half of offered wagesMedian offered wageMedian prevailing wageFilings per year

$80k$100k$120k$93k$100k12022220233202432025

Fiscal years run October to September.

Remington Hotels, LLC by fiscal year

Fiscal yearFilingsMedian offeredvs year beforeMedian prevailingvs prevailing
20253$99,950+8.1%$96,034+4.1%
20243$92,500n/a$87,371+5.9%
20232n/an/an/an/a
20221n/an/an/an/a

Offered wage by job title

Middle half of offered wagesMedian offered wageMedian prevailing wage

Job titleFilingsMedian offeredOffered range and prevailing wagevs prevailing
Business Intelligence Analyst3$93,215+1.3%
Database ETL Developer2$115,000+5.0%
Database “ ETL Developer1$122,000+8.0%
Senior Business Intelligence Analyst1$92,500+5.9%
Senior Feasibility and Development Analyst1$90,000+11.9%
Sr. Systems Engineer - Oracle EPM Suite & ERP Fusion1$90,000+23.3%

Where the jobs are

WorksiteFilingsMedian offered
Dallas, TX9$93,215

By visa type: 9 H-1B. By outcome: 9 certified.

Seniority of the jobs filed

Level I, entry13%
Level II, qualified75%
Level III, experienced13%
Level IV, fully competent0%

The government assigns each job one of four wage levels. A higher level means a higher legal minimum.

What these numbers are

Source: U.S. Department of Labor, OFLC disclosure data. How we clean and count it.

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