Data Engineer

• Design, build, and maintain production data pipelines, data models, and reusable data products supporting analytics, enterprise applications, and AI solutions
• Develop and optimize ETL/ELT processes integrating structured and unstructured data from databases, APIs, files, and other enterprise sources
• Implement data quality, testing, monitoring, lineage, and security practices
• Prepare enterprise data for AI use cases, including RAG, retrieval systems, semantic context, and evaluation datasets
• Manage and improve cloud-based data solutions for scalability, performance, reliability, and cost optimization
• Collaborate with AI Engineers, Software Engineers, and Architects on reliable data integrations and reusable engineering solutions
• Work with clients to understand business needs, address data challenges, and deliver solutions aligned with project goals

Explore Data Engineer, AI – Cloud at Keyrus. Review requirements and application details.

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