Inherent Technologies

Inherent Technologies

Senior Snowflake Data Engineer

Buckingham, Dallas · Senior

Sponsorship not specifiedDetected 142 days ago
PythonSnowflakePlatform EngineeringData Engineering

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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

Third-party placement is common here

29% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 2 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: JP MORGAN CHASE · JPMorgan ChaseFiles as an H-1B dependent employer.

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. 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

  • Position: Senior Snowflake Data Engineer Location: Richardson TXONSITE Duration: 1 Years Mandatory Skills : ETL Concepts, Python for DATA, Snowflake We are looking for a Senior Data Platform Engineer Candidate will design and operate data pipelines that connect heterogeneous source systems normalize data into consumptionready models in Snowflake and build
  • AIpowered agents that surface intelligence across the platform Core Responsibilities Snowflake engineering Design schemas write performant SQ…

This listing is sourced directly from Inherent Technologies's careers page and normalized into a canonical job model.