Data Engineer - GenAI
About the role
Concept Reply, part of the Reply Network, is a leader in IoT solutions. The company supports customers in Automotive, Manufacturing, Smart Infrastructure and beyond, covering all aspects of Internet of Things (IoT) and Cloud Computing. The Data Engineer will contribute to the development of data‑driven and generative AI solutions, working directly with clients as part of a consulting engagement. The ideal candidate has a strong foundation in data engineering and graph databases, hands‑on experience with GenAI and Retrieval‑Augmented Generation (RAG) architectures—particularly GraphRAG—and enjoys client‑facing work.
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.
Minimum Requirements
- Bachelor’s degree.
- U.S. citizenship or Green Card holder.
- At least 3 years of professional experience in data engineering or a related technical field.
- Experience with Python.
- Experience with AWS or Azure cloud platforms.
- Experience developing ETL pipelines and familiarity with ETL frameworks.
- Experience with Databricks and/or Snowflake.
- Experience with graph databases (e.g., Neo4j).
- Hands‑on experience with GenAI/LLM projects, including RAG and GraphRAG.
- Direct client‑facing experience.
Preferred Qualifications
- Background in consulting or professional services.
- Experience with DevOps and CI/CD pipeline development.
- Experience with AI/ML‑driven applications.
About Reply
Reply specializes in designing and implementing solutions based on new communication channels and digital media. It is a network of highly specialized companies supporting global industrial groups across telecom and media, industry and services, banking, insurance, and public administration sectors. Services include Consulting, System Integration, and Digital Services, focusing on AI, cloud computing, digital media, and the Internet of Things.
Pay
The base compensation range for this full‑time position is between $90,000 – $110,000 plus benefits. Compensation decisions are informed by market data, regional cost‑of‑labor variances, prior experience, relevant skills, education, certifications, and other required qualifications.