Snowflake Cortex Engineer
Senior Data Engineer – RAG & Snowflake Cortex
Work Model: Remote (United States)
Job Type: Full-time
Category: Data Engineering / AI Systems
Job Summary
We are seeking a highly technical, hands-on Senior Data Engineer to architect, 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 reliability frameworks that ensure trustworthy, explainable AI responses across structured and unstructured data environments. This is a fully remote U.S.-based role.
Key Responsibilities
· Develop and scale RAG-based workflows powering chat-with-data and conversational analytics experiences.
· Build and operationalize Snowflake Cortex Agents, Analysts, and Search solutions.
· Design ingestion, preprocessing, embedding, and vector search pipelines supporting large-scale datasets.
· Implement guardrails, evaluation metrics, and automated testing frameworks for trustworthy AI.
· Optimize performance across embedding models, vector indexes, and LLM inference layers.
· Ensure secure handling, governance, and monitoring of structured and unstructured data assets.
· Collaborate with cross-functional engineering, ML, and product teams to deliver scalable AI-driven capabilities.
· Drive continuous improvement in retrieval quality, latency, observability, and failure handling.
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 and indexing strategies.
· Experience with unstructured data processing and document intelligence workflows.
· Familiarity with LLM orchestration tools (e.g., LangChain, LlamaIndex, Guardrails).
· Experience building testing, observability, reliability, and guardrail frameworks for AI systems.
· Strong system design, communication, and problem-solving skills.
Compensation (U.S.)
The annual salary range for this position is $110,000 – $120,000 USD, depending on experience, technical depth, and geographic considerations. This position may also qualify for annual performance bonuses and discretionary incentive programs aligned with company policy.
Benefits (U.S.)
· Comprehensive medical, dental, and vision coverage
· Health Savings Account (HSA) or Flexible Spending Account (FSA)
· 401(k) retirement savings plan with company match
· Paid time off (PTO), paid holidays, and wellness days
· Life, AD&D, short-term and long-term disability insurance
· Employee Assistance Program (EAP) with mental health support
· Professional development, certification reimbursement, and learning resources
· Remote work flexibility with home office support
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Apply To this Job
Work Model: Remote (United States)
Job Type: Full-time
Category: Data Engineering / AI Systems
Job Summary
We are seeking a highly technical, hands-on Senior Data Engineer to architect, 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 reliability frameworks that ensure trustworthy, explainable AI responses across structured and unstructured data environments. This is a fully remote U.S.-based role.
Key Responsibilities
· Develop and scale RAG-based workflows powering chat-with-data and conversational analytics experiences.
· Build and operationalize Snowflake Cortex Agents, Analysts, and Search solutions.
· Design ingestion, preprocessing, embedding, and vector search pipelines supporting large-scale datasets.
· Implement guardrails, evaluation metrics, and automated testing frameworks for trustworthy AI.
· Optimize performance across embedding models, vector indexes, and LLM inference layers.
· Ensure secure handling, governance, and monitoring of structured and unstructured data assets.
· Collaborate with cross-functional engineering, ML, and product teams to deliver scalable AI-driven capabilities.
· Drive continuous improvement in retrieval quality, latency, observability, and failure handling.
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 and indexing strategies.
· Experience with unstructured data processing and document intelligence workflows.
· Familiarity with LLM orchestration tools (e.g., LangChain, LlamaIndex, Guardrails).
· Experience building testing, observability, reliability, and guardrail frameworks for AI systems.
· Strong system design, communication, and problem-solving skills.
Compensation (U.S.)
The annual salary range for this position is $110,000 – $120,000 USD, depending on experience, technical depth, and geographic considerations. This position may also qualify for annual performance bonuses and discretionary incentive programs aligned with company policy.
Benefits (U.S.)
· Comprehensive medical, dental, and vision coverage
· Health Savings Account (HSA) or Flexible Spending Account (FSA)
· 401(k) retirement savings plan with company match
· Paid time off (PTO), paid holidays, and wellness days
· Life, AD&D, short-term and long-term disability insurance
· Employee Assistance Program (EAP) with mental health support
· Professional development, certification reimbursement, and learning resources
· Remote work flexibility with home office support
Apply tot his job
Apply To this Job