Senior AI Data Engineer — Onsite in Redmond

Aquent LLC

Redmond (WA)

Presencial

USD 96 000 - 106 000

Tempo integral

Há 7 dias
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Vantagens oferecidas por esta oferta de emprego

Flexible work options

Resumo da oferta

Aquent Talent in Redmond, WA is seeking an AI Data Engineer 3 for an onsite role. You will build the data foundation for modern AI experiences, including synthetic data-generation systems, scalable pipelines, validation frameworks, and cloud-backed services.

You will join a supportive environment with flexible work options and opportunities to thrive both personally and professionally, applying your backend and data-engineering expertise to enterprise-scale data workflows and AI applications.

Qualificações

  • 5+ years of software or data engineering experience.
  • Experience with Python, Spring Boot, and .NET.
  • Experience building data generation, ETL, and distributed data-processing workflows.
  • Strong knowledge of LLMs and AI quality evaluation.

Responsabilidades

  • Design, build, and evolve synthetic data-generation systems.
  • Build and operate scalable pipelines and orchestration.
  • Design and improve data models, storage, and retrieval.
  • Develop validation frameworks and data quality checks.
  • Use cloud engineering practices to deploy and monitor systems.
  • Document progress and maintain tests.

Conhecimentos

Python
Spring Boot
.NET
Backend
ETL
LLMs
Cloud engineering
Data pipelines
APIs
Observability

Ferramentas

Apache Spark
Kafka
Relational databases
NoSQL databases
Cloud storage
Data lakes

Descrição da oferta de emprego

Aquent Talent in Redmond, WA is seeking an AI Data Engineer 3 for an onsite role. You will build the data foundation for modern AI experiences, including synthetic data-generation systems, scalable pipelines, validation frameworks, and cloud-backed services.

You will join a supportive environment with flexible work options and opportunities to thrive both personally and professionally, applying your backend and data-engineering expertise to enterprise-scale data workflows and AI applications.

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