Snowflake Data Engineer with DBT W2 Contract

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Snowflake Data Engineer with DBT for a 3+ month W2 contract, 100% remote. Key skills include Snowflake, DBT, cloud-native development, and healthcare compliance. Experience in AI-driven Population Health Management insights is essential.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 3, 2025
πŸ•’ - Project duration
3 to 6 months
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Deployment #ML (Machine Learning) #Compliance #AI (Artificial Intelligence) #Data Modeling #dbt (data build tool) #Snowflake #Cloud #Scala #Data Engineering #Data Pipeline #"ETL (Extract #Transform #Load)" #Security
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Nasscomm, Inc., is seeking the following. Apply via Dice today! Role: Snowflake data engineer with DBT Location: 100% remote Duration: 03+ months W2 Contract only We are seeking an experienced Snowflake data engineer with DBTto join our project team, supporting a leading healthcare client. The ideal candidate will have strong expertise in Snowflake, DBT, and cloud-native development, with the ability to design, develop, and optimize AI-driven Population Health Management (PHM) insights and analytics solutions. You will play a key role in building scalable, secure, and high-performing cloud-based applications while ensuring alignment with healthcare industry standards and compliance requirements. Key Responsibilities β€’ Develop, implement, and maintain cloud-based applications and services to support healthcare business requirements. β€’ Design and optimize PHM AI Insights solutions, leveraging Snowflake and DBT for scalable data modeling, transformation, and analytics. β€’ Integrate new cloud solutions with existing healthcare systems, ensuring seamless data flow and interoperability. β€’ Optimize cloud applications for performance, scalability, and security, adhering to healthcare compliance standards (e.g., HIPAA, HITRUST). β€’ Collaborate with stakeholders to gather requirements, translate business needs into technical solutions, and deliver insights-driven applications. β€’ Troubleshoot and resolve issues related to cloud infrastructure, applications, and data pipelines. β€’ Support testing, validation, and deployment of AI/ML and data transformation models in the healthcare ecosystem.