Key Facts

Remote From:

Connecticut (USA)

Full time

Senior (5-10 years)

English

Hard Skills

Other Skills

•
Communication
•
Problem Solving

Roles & Responsibilities

Hands-on expertise with RAG architectures, embedding models, chunking, and retrieval optimization
Strong experience with Snowflake Cortex (Agents, Analysts, Search, vector functions)
Proficiency in Python and SQL, with experience building scalable data pipelines
Solid knowledge of vector databases

Requirements:

Develop and scale RAG-based data workflows to power chat-with-data and analytical conversational experiences
Build and operationalize Snowflake Cortex Agents, Analysts, and Search solutions
Design ingestion, preprocessing, embedding, and vector search pipelines for large-scale datasets
Implement guardrails, evaluation metrics, and testing frameworks to ensure response accuracy, reliability, and safety

Job description

Job Description:

§ Job Title: ¬ Senior Data Engineer (Snowflake Cortex)
§ Location:– Remote

Role: Senior Data Engineer
Role :- We are seeking a highly technical, hands-on Senior Data Engineer to design, build, and scale chat-with-data capabilities for an enterprise-grade, customer-facing platform. The ideal candidate has deep experience with production-ready Retrieval-Augmented Generation (RAG) systems, Snowflake Cortex, vectorization techniques, and developing robust reliability frameworks to ensure trustworthy AI responses across structured and unstructured data.
Key Responsibilities
• Develop and scale RAG-based data workflows to power chat-with-data and analytical conversational experiences.
• Build and operationalize Snowflake Cortex Agents, Analysts, and Search solutions.
• Design ingestion, preprocessing, embedding, and vector search pipelines for large-scale datasets.
• Implement guardrails, evaluation metrics, and testing frameworks to ensure response accuracy, reliability, and safety.
• Optimize system performance across embedding models, vector indexes, and LLM inference layers.
• Ensure secure handling and governance of structured and unstructured data assets.
________________________________________
Required Skills & Qualifications
• Hands-on expertise with RAG architectures, embedding models, chunking, and retrieval optimization.
• Strong experience with Snowflake Cortex(Agents, Analysts, Search, vector functions).
• Proficiency in Python and SQL, with experience building scalable data pipelines.
• Solid knowledge of vector databases
• Experience with unstructured data processing and document intelligence workflows.
• Familiarity with LLM orchestration tools.
• Ability to build testing, observability, reliability, and guardrail frameworks for AI-driven systems.
• Strong system design, problem solving, and communication skills.

Years of Experience:

12.00 Years of Experience

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

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