

Sibitalent Corp
Snowflake Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Snowflake Data Engineer in Arlington, VA, on a contract basis. It requires 3–5+ years of Snowflake experience on GCP, advanced SQL skills, and familiarity with healthcare data models, particularly Value-Based Care.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 24, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Arlington, VA
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🧠 - Skills detailed
#Data Pipeline #Data Layers #Data Engineering #Airflow #"ETL (Extract #Transform #Load)" #FHIR (Fast Healthcare Interoperability Resources) #Batch #Scala #GCP (Google Cloud Platform) #Snowflake #dbt (data build tool) #Data Architecture #SQL (Structured Query Language) #Data Modeling #Data Quality #Datasets
Role description
Snowflake Data Engineer
Location: Arlington, VA (Onsite)
Contract
Role Overview
A hands-on Snowflake Developer / Data Engineer with an architectural mindset to design and build scalable enterprise data platforms on Snowflake (GCP). The role requires experience in standing up modern data platforms, with exposure to Value-Based Care (VBC) data models and familiarity with Data Foundry-style enterprise data platforms.
Key Responsibilities
• Design, develop, and optimize data pipelines and data models on Snowflake
• Contribute to enterprise data platform setup (greenfield / modernization)
• Implement solutions aligned to modern data architectures (lakehouse / Data Foundry)
• Build and manage data layers (ingestion, curated, semantic)
• Enable integration across EMR, claims, and external datasets
• Ensure governance, lineage, and data quality
Core Technical Skills
• Hands-on Snowflake experience (3–5+ years)
• Snowflake on GCP
• Advanced SQL and data modeling
• ETL/ELT tools (dbt, Airflow)
• Batch and streaming ingestion patterns
Platform & Data Foundry Experience
• Experience building enterprise data platforms
• Understanding of Data Foundry frameworks (ingestion, governance, reuse)
• Ability to contribute to architecture and scalability decisions
• Knowledge of lakehouse and modern data practices
Healthcare / VBC Experience (Preferred)
• Population health and care management data
• Claims + clinical + EMR integration
• Patient / Member 360 models
• FHIR / HL7 exposure
Thanks
Sonu Pal
Snowflake Data Engineer
Location: Arlington, VA (Onsite)
Contract
Role Overview
A hands-on Snowflake Developer / Data Engineer with an architectural mindset to design and build scalable enterprise data platforms on Snowflake (GCP). The role requires experience in standing up modern data platforms, with exposure to Value-Based Care (VBC) data models and familiarity with Data Foundry-style enterprise data platforms.
Key Responsibilities
• Design, develop, and optimize data pipelines and data models on Snowflake
• Contribute to enterprise data platform setup (greenfield / modernization)
• Implement solutions aligned to modern data architectures (lakehouse / Data Foundry)
• Build and manage data layers (ingestion, curated, semantic)
• Enable integration across EMR, claims, and external datasets
• Ensure governance, lineage, and data quality
Core Technical Skills
• Hands-on Snowflake experience (3–5+ years)
• Snowflake on GCP
• Advanced SQL and data modeling
• ETL/ELT tools (dbt, Airflow)
• Batch and streaming ingestion patterns
Platform & Data Foundry Experience
• Experience building enterprise data platforms
• Understanding of Data Foundry frameworks (ingestion, governance, reuse)
• Ability to contribute to architecture and scalability decisions
• Knowledge of lakehouse and modern data practices
Healthcare / VBC Experience (Preferred)
• Population health and care management data
• Claims + clinical + EMR integration
• Patient / Member 360 models
• FHIR / HL7 exposure
Thanks
Sonu Pal






