GenAI GraphRAG Data Engineer — Client-Facing Pipelines

Reply; Detroit (MI); On-site; USD 90,000 - 110,000; Full time

Job summary

Reply, based in Detroit, MI, is seeking a Data Engineer to design and build data pipelines, graph models, and GraphRAG pipelines for GenAI applications in client engagements.

The role requires hands-on data engineering with Python, cloud platforms, ETL, and experience with graph databases and GenAI/LLM projects. You will collaborate with a small cross-functional delivery team and interact directly with clients.

Qualifications

• Bachelor's degree in a related field or equivalent experience.
• 3+ years of professional data engineering experience.
• Experience with Python and cloud platforms (AWS or Azure).
• Experience with ETL pipelines and Databricks/Snowflake.
• Hands-on with graph databases (Neo4j) and GenAI/LLM projects including RAG GraphRAG.
• Direct client-facing experience.

Responsibilities

• Design, build, and maintain data pipelines and ETL workflows
• Build and maintain graph database models supporting downstream applications
• Design and implement RAG/GraphRAG pipelines to power generative AI applications on top of graph and data platforms
• Work closely with data engineers and scientists to build and enhance data and AI-driven solutions
• Engage directly with client stakeholders — gathering requirements, presenting progress, and translating business needs into technical solutions
• Collaborate with a small cross-functional delivery team

Skills

Python

Client-facing

Education

Bachelor's degree

Tools

Databricks

Snowflake

Neo4j

GraphRAG

Job description

Reply, based in Detroit, MI, is seeking a Data Engineer to design and build data pipelines, graph models, and GraphRAG pipelines for GenAI applications in client engagements.

The role requires hands-on data engineering with Python, cloud platforms, ETL, and experience with graph databases and GenAI/LLM projects. You will collaborate with a small cross-functional delivery team and interact directly with clients.