Middle-Senior Data Engineer with AI Experience

Technology stack: Python, SQL, NoSQL, Snowflake, Airflow, LLM/RAG, Flask, Streamlit, Azure/AWS/GCP.

• Responsibilities: Design and develop scalable ETL and ELT data pipelines
• Build and maintain data orchestration workflows using Apache Airflow or similar tools
• Collaborate with AI engineers to integrate LLMs into data-driven applications
• Develop RAG pipelines using embeddings and vector-based search
• Optimize Snowflake data models for performance and cost efficiency
• Contribute to cloud native application design and deployment
• Support integration or development of MCP servers where applicable
• Collaborate closely with product, data, and platform teams

Do you have experience in System tuning?, * Position overview: We are looking for a Middle-Senior Data Engineer with AI experience and a strong background in building scalable data solutions and enabling AI-driven capabilities. This role combines deep expertise in data engineering with practical experience in integrating and supporting AI technologies.

• The estimated salary for this position is up to USD 150,000 per year.
• The position requires onsite attendance three days per week at the client’s location in New York City (NY), Iselin (NJ), or Charlotte (NC)., * Requirements: Mid-level candidates with 4+ years and Senior candidates with 10+ years of professional experience in software or data engineering.
• Strong experience building production-grade data pipelines
• Experience with Snowflake
• Hands-on experience with Apache Airflow or similar orchestration tools
• Solid experience with Snowflake, including data modeling and performance tuning
• Advanced SQL skills and working knowledge of NoSQL databases
• Strong Python development experience

• Experience working in cloud environments Azure, AWS or GCP

• Nice to have: Hands on experience with large language models
• Experience with retrieval augmented generation patterns
• Experience with embeddings and vector databases
• Experience using Streamlit or similar tools for GenAI interfaces
• Exposure to MCP server development or integration

Client: Our client is a leading global corporate and investment bank, providing a wide range of financial services to large corporates, financial institutions, and institutional investors across international markets.