Eliassen Group

Eliassen Group

Development Analyst

Charlotte, Mecklenburg County · Senior

Sponsorship not specifiedDetected 86 days ago
AngularNode.jsFull-Stack DevelopmentGitSQL

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odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 4 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card intent detected

Eliassen Group, LLC obtained a prevailing wage determination for Financial Specialists, All Other in Reading, MASSACHUSETTS on 2026-06-22. No matching green-card filing appears in our data yet. The determination expires in 14 days (2026-09-19), and a green-card filing must follow before then or the employer starts over.+2 more active determinations on file

Files H-1B transfers

50 transfer filings in the last year, covering 50 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • The role will contribute full-stack solutions using SQL, Angular, Node.js, Git, and related tools while adhering to SDLC practices.

Responsibilities

  • The analyst will collaborate with senior technical leaders to translate requirements into designs and deliver prod…
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This listing is sourced directly from Eliassen Group's careers page and normalized into a canonical job model.