AI Data Engineer – Snowflake Cortex

Interon IT Solutions; Chantilly (VA); In loco; USD 130.000 - 180.000; Tempo pieno

Descrizione del lavoro

Interon IT Solutions seeks an AI Data Engineer to build scalable data pipelines and AI-ready data assets across investment and enterprise data. You will implement Snowflake Cortex capabilities and enable Cortex-based agents, copilots, and retrieval-augmented generation (RAG) solutions.

You will collaborate with AI engineers and business stakeholders to translate complex data requirements into governed data products, ensuring data quality, security, and observability across pipelines and

Competenze

• Hands-on experience building data pipelines and analytics solutions in Snowflake.
• Proficient in SQL and Python for data ingestion, transformation, and processing.
• Experience with Snowflake Cortex, including Cortex Search and Cortex Analyst.
• Experience processing unstructured data, including chunking, tagging, metadata management, and vectorization.
• Understanding of semantic modeling, retrieval frameworks, and RAG architectures.
• Experience with data quality, governance, security, monitoring, and performance optimization.
• Ability to collaborate with business and technical teams to deliver reusable data products.

Mansioni

• Build and maintain scalable data pipelines in Snowflake for ingestion, transformation, and curation of investment and enterprise data.
• Prepare unstructured data for AI use cases through chunking, tagging, metadata enrichment, and vectorization.
• Implement Snowflake Cortex Search to support retrieval and discovery across structured and unstructured data assets.
• Develop semantic views and models for Snowflake Cortex Analyst to enable natural-language access to governed data.
• Design and maintain AI-ready data assets, including vectorized datasets, metadata models, and retrieval frameworks that support agents, copilots, and RAG solutions.
• Develop data engineering solutions using Snowflake Cortex, SQL, Python, and modern cloud tooling.
• Ensure data quality, performance, security, and observability across pipelines and data products.
• Partner with business stakeholders and AI engineering teams to translate complex investment data requirements into reusable, governed data products.
• Support initiatives such as CII, Risk AI, Trade Agent, and other enterprise AI platforms.

Conoscenze

SQL

Python

Data pipeline design

Data governance

Data quality & observability

Collaboration with stakeholders

Strumenti

Snowflake

Snowflake Cortex

Cortex Search

Cortex Analyst

Vectorization

Metadata management

Descrizione del lavoro

Position Overview

We are seeking an AI Data Engineer to build and maintain scalable data solutions that support AI and analytics across investment and enterprise data. This role will focus on developing AI-ready data assets, implementing Snowflake Cortex capabilities, and enabling agents, copilots, and retrieval-augmented generation (RAG) solutions.

Key Responsibilities

• Build and maintain scalable data pipelines in Snowflake for the ingestion, transformation, and curation of investment and enterprise data.
• Prepare unstructured data for AI use cases through chunking, tagging, metadata enrichment, and vectorization.
• Implement Snowflake Cortex Search to support retrieval and discovery across structured and unstructured data assets.
• Develop semantic views and models for Snowflake Cortex Analyst to enable natural-language access to governed data.
• Design and maintain AI-ready data assets, including vectorized datasets, metadata models, and retrieval frameworks that support agents, copilots, and RAG solutions.
• Develop data engineering solutions using Snowflake Cortex, SQL, Python, and modern cloud tooling.
• Ensure data quality, performance, security, and observability across pipelines and data products.
• Partner with business stakeholders and AI engineering teams to translate complex investment data requirements into reusable, governed data products.
• Support initiatives such as CII, Risk AI, Trade Agent, and other enterprise AI platforms.

Required Qualifications

• Hands-on experience building data pipelines and analytics solutions in Snowflake.
• Strong proficiency in SQL and Python for data ingestion, transformation, and processing.
• Experience with Snowflake Cortex, including Cortex Search and Cortex Analyst.
• Experience processing unstructured data, including chunking, tagging, metadata management, and vectorization.
• Understanding of semantic modeling, retrieval frameworks, and RAG architectures.
• Experience applying data quality, governance, security, monitoring, and performance optimization practices.
• Ability to collaborate with business and technical teams to deliver reusable data products.

Preferred Qualifications

• Experience working with investment, financial services, or enterprise data.
• Experience supporting AI agents, copilots, or enterprise AI platforms.
• Familiarity with cloud-based data orchestration and modern data engineering tools.