Aroha Technologies

CCaaS Data Engineer

Charlotte, Mecklenburg County

Sponsorship not specifiedDetected 127 days ago

JavaData StructuresAlgorithmsGitKafkaMachine LearningCRM

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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

36% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 7 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: Elevance Health · Fiserv · AmtrakFiles as an H-1B dependent employer.

Files H-1B transfers

2 transfer filings in the last year, covering 2 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

CCaaS Data Engineer Charlotte, NC/Sunrise,FL Must Have Experience 4 Years Skills: CCaaS/CTI/CRM, IVA, IVR, Java, Microservices, Springboot,Kafka, AI/ML(Sarima/Prophet), Release Management(Maven/Git) Good knowledge with Understanding of model lifecycle, Good understanding of data structures, algorithms and design patterns 1. 4 years of commercial software
development experience. 2. Design and implement scalable CCaaS and IVA solutions leveraging leading cloud and enterprise conversational AI/cus…

Skills

4 years of commercial software development experience.

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