Teams at DevIQ

The Databricks Data Engineer will build scalable data pipelines on the Databricks Lakehouse Platform for analytics and machine learning. Responsibilities include data ingestion, transformation, quality checks, and collaboration with teams to develop data models.

Lead technical architecture and implementation of AI-native software solutions, using agentic AI tools to accelerate delivery. Design agent-friendly codebases, establish verification practices for AI-generated code, build prompts/agents/CI integrations, mentor engineers, and serve as a client-facing technical advisor across presales and delivery.

Design, build, and deploy end-to-end ML and generative AI solutions for clients: data exploration, model training/evaluation, production deployment, MLOps, monitoring, and advisory. Apply LLMs (RAG, embeddings, fine-tuning), establish CI/CD and responsible-AI practices, present findings to stakeholders, and mentor teammates while contributing across engineering and consulting tasks.