Data Engineer

About The Company

GEP is a global leader in procurement and supply chain transformation, dedicated to helping enterprises leverage the power of artificial intelligence and digital technology to excel in the evolving economy. We specialize in AI-driven solutions that enable businesses to operate with enhanced efficiency and effectiveness, secure competitive advantages, and maximize both business and shareholder value. Our partnerships span Fortune 500 and Global 2000 enterprises across diverse industries, where we focus on building high-performing, resilient, and sustainable supply chains that meet the demands of today and tomorrow.

About The Role

We are seeking a skilled Data Engineer to join our team based in the United States. This role is integral to building and maintaining the robust data infrastructure that ensures seamless data flow from source to insight. Positioned at the intersection of data engineering and applied AI, you will not only develop reliable data pipelines but also create meaningful data models through ontologies and knowledge graphs. These models will empower our AI systems to interpret procurement and supply chain data with rich context rather than relying solely on raw data tables.

A significant focus of this role is the development of conversational reporting capabilities. You will be responsible for constructing the semantic layer, retrieval pipelines, and governed data access mechanisms that allow business users to query data in natural language and receive accurate, explainable responses. This transforms traditional dashboards and static reports into dynamic, AI-driven conversations with data.

This position is hybrid, requiring three days per week onsite at GEP’s headquarters in Clark, New Jersey.

Qualifications

• Hands-on experience in Data Engineering, building and maintaining production-grade data pipelines
• Strong proficiency in Python for data engineering tasks beyond basic analysis
• Experience with PySpark or Apache Spark for large-scale data processing
• Solid SQL skills including schema design, query optimization, and relational database management
• Familiarity with at least one major cloud platform (AWS, Azure, or GCP) focusing on data services
• Proven experience embedding AI into data engineering workflows, such as RAG pipelines, LLM-driven workflows, or ML model infrastructure
• Preferred but not mandatory: Experience with Databricks or Microsoft Fabric
• Experience with orchestration tools like Apache Airflow or Azure Data Factory
• MLOps knowledge including model versioning, monitoring, and deployment
• Exposure to GenAI tools such as LangChain, vector databases, or similar technologies
• Experience with ontologies or knowledge graphs (e.g., RDF/OWL, Neo4j, GraphRAG) and conversational or natural language reporting on enterprise data
  
  

Responsibilities

• Design, build, and maintain scalable and reliable data pipelines that move and transform large volumes of data daily
• Integrate AI capabilities into data engineering workflows, including retrieval-augmented generation (RAG) pipelines and LLM-driven processes
• Develop and maintain data infrastructure to support Data Scientists in training, retraining, and deploying machine learning models in production environments
• Leverage cloud platforms such as AWS, Azure, or GCP to design and operate cloud-native data solutions
• Use orchestration tools like Apache Airflow or Azure Data Factory to schedule, monitor, and manage data pipeline workflows effectively
• Implement data quality checks and automated testing to detect and resolve issues before data reaches downstream systems
• Collaborate closely with Data Scientists, Engineers, and Product teams to translate business requirements into robust data infrastructure
• Contribute to a production-grade codebase that is thoroughly reviewed, tested, documented, and maintainable
• Build semantic layers and retrieval pipelines that enable conversational reporting and governed data access for business users
  
  

Benefits

• Competitive salary range of $90,000 to $130,000 annually, based on experience and qualifications
• Performance-based bonus eligibility tied to individual and company performance
• Comprehensive medical, dental, and vision insurance coverage
• 401(k) retirement plan with a 3% company match
• Paid time off and company holidays
• Opportunities for professional development and continuous learning
  
  

Equal Opportunity

GEP is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability status, or any other characteristic protected by applicable law.