GraphRAG Data Engineer for GenAI & Cloud ETL

Reply, Inc.

Chicago, Northern (IL, KY)

Hybrid

USD 90,000 - 110,000

Full time

10 days ago
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Job summary

Reply is seeking a Data Engineer to join our Chicago team and drive data-driven AI solutions for our clients in IoT, cloud, and analytics. You will design data pipelines, build graph models, and implement RAG/GraphRAG pipelines on top of graph and data platforms.

The role requires hands-on experience with GenAI, graph databases such as Neo4j, and strong client-facing communication to translate business needs into technical solutions.

Qualifications

  • Bachelor's degree required and U.S. citizen or Green Card holder.
  • 3+ years of professional data engineering experience.
  • Experience with Python and cloud platforms (AWS or Azure).
  • Experience building ETL pipelines with ETL frameworks.
  • Experience with Databricks and/or Snowflake.
  • Experience with graph databases (Neo4j).
  • Hands-on GenAI/LLM projects, including RAG and GraphRAG.
  • Direct client-facing experience.

Responsibilities

  • Design, build, and maintain data pipelines and ETL workflows.
  • Build and maintain graph database models to support applications.
  • Design and implement RAG/GraphRAG pipelines for AI apps.
  • Collaborate with data engineers and scientists on data/AI solutions.
  • Engage with client stakeholders to gather requirements and report progress.
  • Work with a small cross-functional delivery team.

Skills

Python
Cloud platforms
GenAI/LLM projects
RAG/GraphRAG architectures
Client-facing

Education

Bachelor's degree

Tools

Databricks
Snowflake
Neo4j

Job description

Reply is seeking a Data Engineer to join our Chicago team and drive data-driven AI solutions for our clients in IoT, cloud, and analytics. You will design data pipelines, build graph models, and implement RAG/GraphRAG pipelines on top of graph and data platforms.

The role requires hands-on experience with GenAI, graph databases such as Neo4j, and strong client-facing communication to translate business needs into technical solutions.

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