Data Engineer - GenAI & GraphRAG Pipelines

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

Job summary

Reply is seeking a Data Engineer to join our team and advance data-driven and generative AI solutions for client projects. You will design data pipelines, build graph database models, and develop GraphRAG workflows on top of Databricks and Snowflake, while collaborating with a small delivery team and engaging directly with stakeholders.

You will work closely with data engineers and scientists to build and enhance data and AI-driven solutions, with opportunities to influence project outcomes and

Qualifications

• 3+ years of professional data engineering experience.
• Proficient in Python.
• Experience with AWS or Azure cloud platforms.
• Experience with ETL pipelines.
• Experience with graph databases (Neo4j).
• Hands-on GenAI/LLM projects, including RAG.
• 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

ETL pipelines

Graph databases (Neo4j)

GenAI/LLM (RAG/GraphRAG)

Cloud platforms (AWS/Azure)

Databricks

Snowflake

Client-facing

3+ years data engineering

Education

Bachelor's degree

Tools

Databricks

Snowflake

Neo4j

Job description

Reply is seeking a Data Engineer to join our team and advance data-driven and generative AI solutions for client projects. You will design data pipelines, build graph database models, and develop GraphRAG workflows on top of Databricks and Snowflake, while collaborating with a small delivery team and engaging directly with stakeholders.

You will work closely with data engineers and scientists to build and enhance data and AI-driven solutions, with opportunities to influence project outcomes and