Data Engineer (Remote)

Build, scale, and maintain robust data solutions to support business objectives. Design, implement, and optimize high-performance data pipelines (extraction, loading, transformation, and orchestration) with scalability, reliability, and speed. Lead end-to-end software development projects involving large language models (LLMs), retrieval-augmented generation (RAG) frameworks, and other AI technologies. Champion modern software engineering practices such as CI/CD, infrastructure- as-code, containerization, and cloud-native deployments. Collaborate with business stakeholders to transform use cases into production- ready services and solutions, owning systems from concept to production. Implement rigorous testing and monitoring practices to ensure superior data quality and integrity. Mentor and guide junior team members, fostering a culture of excellence and continuous learning.