GenAI Data Engineer: Graph DB, RAG Pipelines, Client Impact

Jobtailor; Illinois; On-site; USD 110,000 - 160,000; Full time

Job summary

Jobtailor is seeking a data engineer to design, build, and maintain data pipelines and ETL workflows, with a strong emphasis on graph databases and GenAI/LLM initiatives across our data platforms.

You will work closely with data scientists and engineers, gather requirements from client stakeholders, and translate business needs into scalable technical solutions within a small cross-functional delivery team.

Qualifications

• Bachelor's degree required.
• At least 3 years of professional data engineering experience.
• Experience with Python and cloud platforms.

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 by gathering requirements, presenting progress, and translating business needs into technical solutions
• Collaborate with a small cross-functional delivery team

Skills

Data engineering

ETL pipelines

Graph database experience

Python programming

Client-facing experience

Education

Bachelor's degree

Tools

Databricks

Snowflake

Neo4j

AWS

Azure

Job description

Jobtailor is seeking a data engineer to design, build, and maintain data pipelines and ETL workflows, with a strong emphasis on graph databases and GenAI/LLM initiatives across our data platforms.

You will work closely with data scientists and engineers, gather requirements from client stakeholders, and translate business needs into scalable technical solutions within a small cross-functional delivery team.