Data Engineer — AI-Driven Data Pipelines & Warehouses

IDR, Inc.

Rosemont (IL)

Presencial

USD 95 000 - 130 000

Tempo integral

há 31 horas
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Vantagens oferecidas por esta oferta de emprego

Full Benefits
Employee Stock Ownership Program
Medical, Vision, Dental
Career growth opportunities

Resumo da oferta

IDR, Inc. in Rosemont, IL is seeking a Data Engineer to join a data-driven team leveraging AI-powered solutions to transform data workflows and insights.

You will design, build, and maintain data pipelines and warehouses using modern data engineering practices and AI-assisted tooling. Responsibilities include delivering scalable pipelines, maintaining warehouse objects, and collaborating with cross-functional teams to gather requirements, test, and deploy data solutions while ensuring high data

Qualificações

  • Bachelor's degree or equivalent experience in a related field.
  • 3-5 years of professional data engineering experience.
  • Strong SQL, data modeling, and ETL/ELT pipeline skills.
  • Experience with AI development tools and data warehouses.

Responsabilidades

  • Design and deliver scalable data pipelines and maintain data warehouse objects.
  • Operate in an AI-native delivery model using Claude and Copilot.
  • Collaborate with cross-functional teams to gather requirements and deploy data solutions.
  • Ensure data quality via automated checks, testing, and reviews.
  • Contribute within a distributed team and participate in agile ceremonies.

Conhecimentos

SQL
ETL/ELT pipelines
Data modeling
Data warehouse design
Agile methodologies

Formação académica

Bachelor's degree in Computer Science or related field

Ferramentas

Claude
GitHub Copilot

Descrição da oferta de emprego

IDR, Inc. in Rosemont, IL is seeking a Data Engineer to join a data-driven team leveraging AI-powered solutions to transform data workflows and insights.

You will design, build, and maintain data pipelines and warehouses using modern data engineering practices and AI-assisted tooling. Responsibilities include delivering scalable pipelines, maintaining warehouse objects, and collaborating with cross-functional teams to gather requirements, test, and deploy data solutions while ensuring high data

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