Anveta Inc

Anveta Inc

Palantir Data Engineer

Spring, Texas, USA · Contract

Sponsorship not specifiedDetected 134 days ago
PythonData 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

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Employer immigration record

from this employer's Department of Labor filings

Third-party placement is common here

61% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 13 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: Ryder Truck Rental · State of New Jersey Motor Vehicle Commission · Collins AerospaceFiles 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

  • Join the world-class CCS100 Fusion Team as a Palantir Data Engineer.
  • Ontology Architecture: Rapidly master the product''s current data organization and map complex data models into clean Palantir Ontology representations.
  • Data Modeling & Optimization: Provide proactive recommendations to improve data model performance, flexibility, and extensibility.

Responsibilities

  • Pipeline Integration: Build and maintain high-performance ingestion and export configurations between the Ontology and external data stores.
  • Build and maintain high-performance ingestion and export configurations between the Ontology and external data stores.

Requirements

  • Strong Coding Skills: Deep proficiency in Python for data processing, validation, and transformation pipelines.
  • Data Engineering DNA: Multiple years of experience handling massive, data-heavy systems and building complex data pipelines.

Nice to have

  • Preferred Skills: Nice-to-Haves: Broader familiarity with other Foundry utilities like Workshop and Quiver is a massive plus.

Skills

  • Strong Coding
  • Deep proficiency in Python for data processing, validation, and transformation pipelines.
  • Nice-to-Haves: Broader familiarity with other Foundry utilities like Workshop and Quiver is a massive plus.
  • Education: A Bachelor''s degree in Computer Science, Engineering, Mathematics, or equivalent practical enterprise project experience.
  • Foundry Mastery:
  • Data Engineering DNA:
  • A Bachelor''s degree in Computer Science, Engineering, Mathematics, or equivalent practical enterprise project experience.
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This listing is sourced directly from Anveta Inc's careers page and normalized into a canonical job model.