Teams at Atlas Data Science

Build and maintain backend services and metadata pipelines supporting data discovery, governance, and AI/ML workflows. Responsibilities include integrating relational databases, developing Java, Node.js, and Python services, optimizing distributed pipelines, implementing Terraform infrastructure, supporting GitLab CI/CD, and writing comprehensive tests. The role also involves troubleshooting scalability and reliability issues, designing asynchronous workflows, and collaborating on modern data lake, search, metadata, and LLM-enabled technologies.

Build and maintain metadata capture, transformation, and delivery pipelines for a data management platform. Develop backend services with Python, Java, and Node.js; integrate relational databases and REST APIs; implement Terraform infrastructure; and support GitLab CI/CD. Optimize distributed systems for performance, reliability, scalability, and secure asynchronous processing. Write automated tests, troubleshoot services using operational metrics, and contribute to AI/ML metadata pipelines, search, data lake, and LLM-powered initiatives.