ExpertsHub.ai
Data Science Specialist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Science Specialist focused on healthcare, requiring 5-8+ years of data engineering experience, expertise in Snowflake, and proficiency in Python. Contract length and pay rate are unspecified. Remote work is mandatory.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
February 18, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#FHIR (Fast Healthcare Interoperability Resources) #Data Quality #Monitoring #Python #Snowflake #Databricks #Data Engineering #Data Science #SQL (Structured Query Language) #Snowpark #"ETL (Extract #Transform #Load)"
Role description
Data Science Engineer (LLM/Snowflake) — Healthcare
Remote
Mandatory
Healthcare domain exp in recent years
Cortex
Need at least 5 years exp in similar tech
What you’ll do
• Build near real time ingestion from Epic/FHIR/HL7 into Snowflake.
• Author Snowflake stored procedures (SQL/Python) and Notebooks to transform/prepare features.
• Feed an existing LLM/Cortex model; ensure stable, well documented feature contracts.
• Migrate/port components from Databricks → Snowflake.
• Implement monitoring/alerts, data quality checks, and concise runbooks.
• Partner with clinicians/data scientists; communicate progress/issues clearly.
What you have
• 5–8+ years in data engineering/data science engineering with Snowflake depth (stored procs, Snowpark/Notebooks, tasks/streams).
• Python for APIs and transformations; healthcare data experience (Epic, FHIR, HL7).
• LLM/GenAI literacy with Snowflake Cortex.
• Near real time ingestion + incremental patterns; strong comms.
• Nice: Databricks experience.
Data Science Engineer (LLM/Snowflake) — Healthcare
Remote
Mandatory
Healthcare domain exp in recent years
Cortex
Need at least 5 years exp in similar tech
What you’ll do
• Build near real time ingestion from Epic/FHIR/HL7 into Snowflake.
• Author Snowflake stored procedures (SQL/Python) and Notebooks to transform/prepare features.
• Feed an existing LLM/Cortex model; ensure stable, well documented feature contracts.
• Migrate/port components from Databricks → Snowflake.
• Implement monitoring/alerts, data quality checks, and concise runbooks.
• Partner with clinicians/data scientists; communicate progress/issues clearly.
What you have
• 5–8+ years in data engineering/data science engineering with Snowflake depth (stored procs, Snowpark/Notebooks, tasks/streams).
• Python for APIs and transformations; healthcare data experience (Epic, FHIR, HL7).
• LLM/GenAI literacy with Snowflake Cortex.
• Near real time ingestion + incremental patterns; strong comms.
• Nice: Databricks experience.
