Data Engineer - GenAI

Concept Reply, part of the Reply Network, is a leader in IoT solutions. We support and advise our customers in Automotive, Manufacturing, Smart Infrastructure and beyond in all aspects of Internet of Things (IoT) and Cloud Computing. From designing and developing customized IoT solutions to implementing and managing them seamlessly, Concept Reply helps customers unlock the potential of IoT.

We are seeking a Data Engineer to join our team and 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 RAG (Retrieval-Augmented Generation) architectures — GraphRAG in particular — is comfortable working client-facing, and has a passion for data and AI.

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
• Must be a U.S. citizen 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 the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.

The base compensation range for this full-time position is between $90,000 - $110,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also take into consideration prior experience, relevant skills, education and/or training, certifications and, as applicable, other required qualifications. If you have questions regarding compensation, the talent acquisition team can provide relevant details during the interview process.

Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at [email protected]. Visit our website at www.reply.com to learn more about our open roles.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.