Tiger Analytics Inc.

Python Principal Architect

Campbell, Santa Clara County · Principal

Sponsorship not specifiedDetected 137 days ago

PythonSQL

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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

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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 23 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 100%

Of 23 labor certifications old enough to have been used, 0 expired without the employer filing the next step. Median time from filing to decision: 515 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

61 transfer filings in the last year, covering 61 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

Python Principal Architect San Jose, CA 12 Months Mandatory Skills Design end-to-end system architectures:APIs. Write production-quality code — Python, SQL, API services — across the full lifecycle WHAT YOU''LL DO Architecture & System Design • Design end-to-end system architectures: APIs. • Define and own technical blueprints for new products and
applications — from data ingestion and embedding pipelines through to response generation, evaluation, and production monitoring. • Solve hard engine…

Skills

Solve hard engine…

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This listing is sourced directly from Tiger Analytics Inc.'s careers page and normalized into a canonical job model.