StackNexus Inc.

StackNexus Inc.

Data Engineer

Charlotte, North Carolina, USA · Contract

Sponsorship not specifiedDetected 172 days ago
PythonSQLBigQueryGCPCloud PlatformsData 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

Files H-1B transfers

3 transfer filings in the last year, covering 3 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

  • Role: Data Engineer The address for Interviews is 2151 Hawkins Street, Charlotte, 12th Floor 6+ months An in-person interview required. Glider test required Financial company experience needed Key skills: Pyspark Sql Python Google Cloud Platform Data Engineer w/ Google Cloud Platform & SQL Evaluates data requirements and stories, documents them for seamless
  • integration into existing architectures, and maintains data models to support business needs. Builds and enhances data pipelines and database designs to meet performance, scalability, and security requirements. Collaborates in design reviews and testing and provides production environment support with guidance from peers and leaders. Operates data assets

Skills

  • Operates data assets according to consistent standards, guidelines, and policies.
  • Completes work reviews and fosters a collaborative learning environment.
  • Completes Big Data requirements by implementing basic partitioning and indexing solutions.
  • Programming Languages: Strong proficiency in Python and SQL for data processing and manipulation.
  • ETL/ELT: Experience with ETL/ELT processes and data warehousing concepts.
  • Data Modeling: Understanding of data modeling principles and techniques.
  • Knowledge of cloud computing concepts and standard processes
  • Google Cloud Platform Expertise:
  • Programming Languages:
  • Strong proficiency in Python and SQL for data processing and manipulation.
  • Experience with ETL/ELT processes and data warehousing concepts.
  • Data Modeling:

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