EVEREST CONSULTING GROUP, INC

Aws Data Engineer

New York Mills, New York, USA · Senior · third party, contract

Sponsorship not specifiedDetected 168 days ago

PythonSQLSnowflakeAWSdbtData EngineeringData Visualization

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odds of building a lasting career here

37Risky

Cap-exempt (no lottery)0

Sponsors this role80

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 28 green-card filings in this occupation, 4% were for a worker who already held the job.

Third-party placement is common here

71% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 22 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: IBM INC. · STATE OF MISSISSIPPI · GE HEALTHCAREFiles as an H-1B dependent employer.

Green-card follow-through: 100%

Of 11 labor certifications old enough to have been used, 0 expired without the employer filing the next step. Median time from filing to decision: 426 days.4% 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

30 transfer filings in the last year, covering 30 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

This role focuses on ingesting data from corporate systems, organizing it in a cloud-based data lake, and enabling reliable reporting through Amazon QuickSight.
You will help establish practical standards for data ingestion, transformation, and reporting in a growing analytics environment.

Requirements

The ideal candidate is a hands-on engineer comfortable with modern AWS data services, collaborating with business stakeholders, and supporting production reporting workloads.
Experience with dbt and Snowflake will become increasingly important as the platform evolves.

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