Middle–Senior Data Engineer with AI Experience

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.

Project overview: The project involves migrating production data pipelines from legacy environments into a modern, cloud‑native data platform. The new platform enables domain‑oriented data products, scalable analytics, and embedded governance, with AI‑based tools supporting data quality, anomaly detection, privacy, and compliance.

• 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).

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

• 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