Inherent Technologies

Inherent Technologies

Senior Snowflake Data Engineer

Buckingham, Dallas · Senior

Sponsorship not specifiedDetected 142 days ago
PythonSQLSnowflakePlatform 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

  • 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 SQL manage roles warehouse sizing and implement change management practices ETL ELT develop…
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This listing is sourced directly from Inherent Technologies's careers page and normalized into a canonical job model.