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A fast read on the main sponsorship signal before you dig into charts and tables.
EN Engineering employer filing profile for all available years, covering sponsorship activity, wage context, approval signals, and location patterns from official labor disclosures.
Employer sponsorship insight
A fast read on the main sponsorship signal before you dig into charts and tables.
EN Engineering is tracked on Work Visa Insights as a visa sponsorship employer using official H1B, LCA, and related labor filing records. In the selected scope across all tracked years, the employer has 7 official filings with an approval rate of 100.0%. The strongest role signals include Electrical Engineers, Business Intelligence Analysts, and Civil Engineers, while filing activity is most visible in Austin, TX, Boston, MA, Houston, TX, and Olathe, KS. Salary records show $93,258 median salary, which is about 3.6% below the national sponsored-role benchmark. For candidates, recruiters, and immigration teams, this summary highlights sponsorship scale, salary positioning, geographic footprint, and filing consistency before deeper case-level research. Because employer names and filing categories can vary across official disclosures, Work Visa Insights normalizes the records into one employer view and updates the summary when the underlying data changes. Users can compare this employer with similar sponsors, review top roles, and inspect location-level trends to understand whether the sponsor is concentrated in one market or broadly active across the United States. This page is intended for research and benchmarking only and should not be treated as immigration or legal advice.
EN Engineering shows visa sponsorship activity across all available fiscal years across H1B filing signals, LCA wage disclosures, and PERM green card activity. Based on public filing data, this profile summarizes 7 visible filings and highlights roles such as sponsored professional roles across locations including major U.S. work locations. Salary filings indicate a median wage of $93,258, with stronger concentrations where repeated employer, role, and worksite records appear in the data. The recent trend signal is that records span FY2021 through FY2022. Use this page to compare employer sponsorship activity, job roles, location footprint, salary benchmarks, and green card sponsorship context in one crawlable profile. The summary is generated from public USCIS and Department of Labor filing datasets.
WorkVisaInsights provides informational insights based on publicly available filing data. This is not legal advice.
Visa Sponsorship Intelligence
Employer summary
All fiscal years
Sponsor score
0.2 / 10
Approval rate
100.0%
Median salary
$93,258
Top role
Electrical Engineers
Top city
Austin
EN Engineering is shown as a consolidated all-years sponsor across FY2021 to FY2026, with 100.0% approvals and median pay of $93,258.
Salary range
$96,821 - $109,716
Use this as the likely pay band you will see across this sponsor's public filings.
Top hiring cities
Austin, Boston, Houston
The first cities shown here are where this employer appears most often in the selected scope.
Visa approval rate
100.0%
Approval rate shows how often public filings reached approval within the available dataset.
More detail
7
Observed sponsor volume in the selected scope
$93,258
Central wage signal for sponsored cases
100.0%
Share of filings that reached approval
4
Distinct hiring locations represented in filings
Everything on this page is organized around one question: is this employer a strong visa sponsor for the profile you are evaluating?
Hiring activity
Steady
7 filings with consistent sponsorship demand.
Salary competitiveness
Below Market
$93,258 median pay trails stronger sponsor benchmarks.
Visa risk
Low
100.0% approval rate with limited visible friction.
Growth trend
Stable
5.0% movement indicates a steady sponsorship baseline.
Server-rendered sponsor facts for search crawlers and quick research.
EN Engineering is profiled using LCA Intelligence records for All years.
The intelligence view combines filing volume, outcomes, wage benchmarks, and concentration signals for decision support.
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