Saransh Inc

Lead Data Engineer (Snowflake, Airflow and Graph RAG) - W2 Role

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer (Snowflake, Airflow, and Graph RAG) on a 12-month W2 contract, located in New York, NY / Westport, CT. Key skills include proficiency in Snowflake, Airflow, and Graph Data Structures, with a focus on AI integration.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 24, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Westport, CT
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🧠 - Skills detailed
#Data Engineering #Data Catalog #Compliance #Data Management #AWS (Amazon Web Services) #AI (Artificial Intelligence) #Data Integration #Data Ingestion #Data Lineage #Snowflake #Knowledge Graph #Data Architecture #Scala #Data Quality #Security #Neo4J #Logical Data Model #"ETL (Extract #Transform #Load)" #Metadata #Airflow
Role description
Role: Lead Data Engineer (Snowflake, Airflow and Graph RAG) Location: New York, NY / Westport, CT (Onsite from Day 1) Job Type: W2 Contract Project Duration: 12 months Requirements Technical Expertise: • Strong proficiency in Snowflake and Airflow (mandatory). • Deep knowledge of GraphRAG and Graph Data Structures. • Strong background in Data Architecture/Design with experience in market data sources. AI And Integration Experience • Experience integrating heavy AI-driven architectures. • Ability to share knowledge with project and client teams on Cypher, Graph, and RAG traversals. Additional Skills • AWS experience is a plus. Responsibilities Data Integration and Management: • Identify and integrate structured, unstructured, and semi-structured data sources. • Implement RBAC and develop logical data models, ensuring compliance and data lineage. • Document business transformations and establish data quality rules. • Create a comprehensive data catalog and register data assets with metadata. Design Implementation • Translate and implement the architectural blueprint for the Data Factory. • Ensure robust data management and quality to support automated investment processes and AI-driven analytics. • Implement Neo4j-powered Knowledge Graph and ensure investment decision traceability. Advanced Data Solutions • Develop and maintain multi-dimensional asset ontology and temporal versioning. • Incorporate GraphRAG for transforming unstructured documents into queryable graph entities. Security And Access Control • Implement property-based access control and oversee real-time data ingestion pipelines. Data Architecture And Management • Oversee scalable data warehousing solutions using Snowflake. • Develop frameworks for data quality and governance, including metadata registration and sensitivity/security considerations. Note: Visa Independent candidates are preferred