Data Engineer

Job Title: Data Engineer Location: 100% Work from home Duration: 6 Months Contract with Possible of extension Must haves experience: • Python, SQL, Snowflake, AWS • A2A Architectures Job Description: One SaaS client is seeking a Data Engineer to data pipelines. The role focuses on finance data, RAG-based architectures, hallucination mitigation, and agentic AI systems deployed at scale. You will work closely with Product, Data, and Platform teams to deliver reliable, explainable, and production-ready AI solutions. Responsibilities: • Strong Data Engineering experience building scalable data pipelines using Python and modern data platforms • Advanced Python skills for data processing, automation, AI/ML workflows, and pipeline development • Strong SQL and DBT expertise for data modeling, transformation, and analytics engineering • Hands-on experience in AI/ML model development, deployment, monitoring, and performance optimization • Work with finance and enterprise datasets ensuring accuracy and governance • Experience in Agent-to-Agent (A2A) architectures. Technologies & Skills: • Python, SQL, DBT • Data: Snowflake, DBT, structured & unstructured data pipelines • Cloud: AWS (Code Pipeline - S3, EC2, ECS, Lambda etc) • Agentic AI: LangGraph, LangChain, MCP, Agent-to-Agent (A2A) patterns • LLMs: OpenAI (GPT-4/4.1), Anthropic • Minimum Education Required: BS or MS Computer Science or related fields.