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4 дня назад

Early Career Consult Program - Associate Data Engineer (AI)

77 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Early Career Consult Program - Associate Data Engineer (AI): Building RAG pipelines, vector database infrastructure, semantic layers, data guardrails, and CI/CD pipelines for AI-driven infrastructure operations with an accent on unstructured data transformation, retrieval performance, and data quality. Focus on designing vector embeddings, building knowledge graphs, detecting noise, bias, and PII, and maintaining reliable production data infrastructure.

Location: Dallas (USDALFRI) Frisco AI HUB, United States; partially remote, with work at the Frisco office required 5 days per week

Salary: $77,000 per year, plus eligibility for a discretionary annual bonus and benefits.

Company

hirify.global designs, builds, manages, and modernizes mission-critical technology systems for clients and communities.

What you will do

  • Design and scale Retrieval-Augmented Generation pipelines that transform unstructured IT logs and documentation into optimized vector embeddings.
  • Maintain the health and performance of vector databases such as Pinecone, Milvus, and Weaviate, targeting sub-second retrieval for agentic reasoning loops.
  • Build knowledge graphs and semantic layers that provide context for AI agents navigating complex infrastructure problems.
  • Develop automated data guardrails to detect noise, bias, and personally identifiable information before data reaches models.
  • Identify and resolve data quality issues at their source, then build, deploy, and maintain CI/CD pipelines for data infrastructure.

Requirements

  • Must be legally authorized to work in the United States without restriction now and in the future; employment visa sponsorship is not available.
  • Expertise in data mining, data storage, and Extract-Transform-Load processes.
  • Experience developing data pipelines and using tooling such as Glue, Databricks, Synapse, or Dataproc.
  • Experience with relational and NoSQL databases, including PostgreSQL, DB2, and MongoDB.
  • Excellent problem-solving, analytical, and critical-thinking skills.
  • Ability to manage multiple projects simultaneously while maintaining strong attention to detail.
  • Ability to communicate with technical and non-technical colleagues and translate business needs into technical requirements.

Nice to have

  • Experience working as a Data Engineer or in cloud modernization.
  • Experience in data modelling and creating conceptual models of data relationships and business use.
  • Professional certification, such as Open Certified Technical Specialist with Data Engineering Specialization.
  • Cloud certification such as AWS Certified Data Analytics – Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate.
  • Understanding of social coding and integrated development environments, such as GitHub and Visual Studio.
  • Degree in a scientific discipline such as Computer Science, Software Engineering, or Information Technology.

Culture & Benefits

  • Full-time employment with medical and dental coverage, disability and retirement benefits, paid leave, and paid time off.
  • Access to learning programs and certifications from Microsoft, Google, Amazon, Skillsoft, and other providers.
  • Growth opportunities through hands-on experience, professional development, and certification across four major platforms.
  • Inclusive, diverse, customer-focused environment with employee inclusion networks and volunteering opportunities.
  • Applications are accepted on a rolling basis.

Hiring process

  • If applying through an employee referral, select “Employee Referral” and enter the referring employee’s hirify.global email address when asked how the application was found.

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