FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in designing and deploying AI-powered healthcare solutions using Snowflake, with a strong focus on data engineering, optimization, and compliance with HIPAA regulations. Proficient in building production-grade applications and managing complex data workflows within Snowflake environments.
Highest-signal resume keywords
Snowflake ExpertiseAI-Powered Healthcare SolutionsStreamlit Application DevelopmentData Engineering with Snowpark for PythonHIPAA Compliance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringSnowflake CortexSQL OptimizationFeature EngineeringRAG PipelinesVector SearchData Vault ArchitectureMedallion PatternsCustom UDFs/UDTFsData Modeling
Tools & Technologies
SnowflakeStreamlitCortex AnalystCortex SearchSnowparkAzureGCPSnowpipeDynamic TablesMaterialized Views
Industry Keywords
Healthcare Data SolutionsPHI Data HandlingData GovernanceData LineageClinical Data IntegrationMedicare Stars Patient Safety
Tech Stack
Tools & technologiesAzureCloudGoogle Cloud PlatformPythonSnowflakeSQLVault
About the role
Key responsibilities & impact- Design and deploy AI-powered healthcare solutions using Snowflake Cortex and LLM-based functions
- Build and orchestrate multi-step AI agents using Snowflake Cortex Agents and Cortex Analyst
- Leverage Cortex Search for semantic and hybrid search across clinical and operational data
- Implement RAG pipelines using Snowflake-native vector embeddings and the VECTOR data type
- Use Arctic Embed and other Snowflake-native embedding models
- Build production-grade Streamlit in Snowflake applications, dashboards, internal tools, and AI-assisted exploration tools
- Develop complex transformations, feature engineering pipelines, and ML preprocessing workflows using Snowpark for Python
- Build and manage ELT pipelines with Streams, Tasks, Dynamic Tables, and Snowpipe
- Optimize Snowflake performance through pruning, clustering keys, materialized views, search optimization, and warehouse right-sizing
- Design Data Vault or Medallion architecture patterns and integrate Snowflake with healthcare data sources and BI platforms
- Implement governance including row-level security, column masking, object tagging, and data classification
- Ensure HIPAA compliance and PHI data handling best practices
- Manage data lineage, cataloging, and access control
- Partner with data scientists, ML engineers, clinical analysts, and business stakeholders
- Act as a Snowflake subject matter expert, drive best practices, onboard teams, and contribute to platform roadmap planning
Requirements
What you’ll need- 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 Azure and GCP and connecting Snowflake to cloud-native services
- Strong understanding of data modeling for analytics, including star schema, Data Vault, and Medallion/Lakehouse patterns
- Knowledge of Medicare Stars Patient Safety is a strong plus