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Snowflake Data Engineer

EXL81 open roles

Where
Pittsburgh, Pennsylvania, United States
Work mode
Hybrid
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Your applicationOpen nowSnowflake Data EngineerEXL · Pittsburgh, Pennsylvania, United States

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. EXL postings stay open a median of 18 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: posted today

EXL median: 18 days open

The posting

Job Description

We are seeking a highly skilled Snowflake Data Engineer with deep expertise in Snowflake's modern AI and data platform capabilities. The ideal candidate goes beyond traditional data engineering — they are proficient in Snowflake Cortex AI, building intelligent agents, developing Streamlit-based data applications, and leveraging Snowpark for advanced analytics. This role is central to our healthcare data modernization strategy and requires someone who can architect, build, and scale next-generation data and AI solutions on Snowflake.

Responsibilities

Snowflake AI & Cortex (Core Focus)

  • Design and deploy AI-powered solutions using Snowflake Cortex, including LLM-based functions (COMPLETE, SUMMARIZE, SENTIMENT, TRANSLATE, CLASSIFY) for healthcare data use cases.
  • Build and orchestrate multi-step AI agents using Snowflake Cortex Agents and Cortex Analyst to automate data workflows and enable natural language querying of structured healthcare datasets.
  • Leverage Cortex Search for semantic and hybrid search capabilities across unstructured clinical and operational data.
  • Implement RAG (Retrieval-Augmented Generation) pipelines using Snowflake's native vector embeddings and VECTOR data type for domain-specific LLM grounding.
  • Use Arctic Embed and other Snowflake-native embedding models to build scalable, cost-effective AI features within the Snowflake perimeter.

Streamlit & Application Development

  • Build interactive, production-grade data applications and internal tools using Streamlit in Snowflake (SiS) for business stakeholders and data consumers.
  • Develop self-service analytics dashboards and AI-assisted exploration tools embedded directly in the Snowflake environment.
  • Create Streamlit-based front-ends for Cortex-powered features — enabling clinical users and analysts to interact with AI outputs without leaving the Snowflake ecosystem.

Snowpark & Data Engineering

  • Develop complex data transformations, feature engineering pipelines, and ML preprocessing workflows using Snowpark for Python.
  • Build and manage scalable ELT pipelines leveraging Snowflake Streams, Tasks, Dynamic Tables, and Snowpipe for real-time and batch ingestion.
  • Optimize Snowflake performance through micro-partition pruning, clustering keys, materialized views, search optimization, and warehouse right-sizing.
  • Design and implement Data Vault or Medallion architecture patterns for healthcare data platforms.
  • Integrate Snowflake with upstream healthcare data sources and downstream BI platforms.

Data Governance & Security

  • Implement Snowflake-native governance including row-level security, column masking policies, object tagging, and data classification.
  • Ensure HIPAA compliance and PHI data handling best practices across all Snowflake data assets.
  • Manage data lineage, cataloging, and access control in alignment with organizational governance frameworks.

Collaboration & Platform Ownership

  • Partner with data scientists, ML engineers, clinical analysts, and business stakeholders to translate requirements into robust Snowflake-native solutions.
  • Act as a Snowflake subject matter expert and internal champion — driving best practices, onboarding teams, and evangelizing new platform capabilities.
  • Participate in platform roadmap planning and contribute to Snowflake feature adoption strategy.

Qualifications

  • 5+ years of data engineering experience, with at least 3+ years of hands-on Snowflake expertise.
  • Proven experience with Snowflake Cortex AI features: LLM functions, Cortex Analyst, Cortex Search, and AI agent orchestration.
  • Hands-on experience building Streamlit in Snowflake applications deployed in production environments.
  • Proficiency in Snowpark for Python — including custom UDFs/UDTFs, stored procedures, and DataFrame API usage.
  • Strong SQL skills with deep understanding of Snowflake's execution engine, query profiling, and optimization techniques.
  • Experience with Snowflake data sharing, Marketplace, and cross-cloud/cross-region replication.
  • Familiarity with vector search, embeddings, and RAG architecture patterns within or integrated into Snowflake.
  • Good to have experience with cloud platforms: Azure, and GCP — and connecting Snowflake to cloud-native services.
  • Strong understanding of data modeling for analytics (star schema, Data Vault, Medallion/Lakehouse patterns).
  • Knowledge of Medicare Stars Patient Safety is a strong plus.
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