Jobs via Dice
Snowflake Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Snowflake Data Engineer for a long-term contract, offering remote work. Requires 5+ years of data engineering experience, strong Snowflake expertise, Python proficiency, and skills in ETL/ELT pipelines and cloud environments (AWS/Azure/GCP).
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 20, 2026
🕒 - Duration
Unknown
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🏝️ - 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
#Azure #Cloud #dbt (data build tool) #Data Engineering #SQL (Structured Query Language) #GCP (Google Cloud Platform) #Python #Logging #Snowflake #Data Modeling #AWS (Amazon Web Services) #"ETL (Extract #Transform #Load)"
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Globex IT Solutions INC, is seeking the following. Apply via Dice today!
Job Title: Senior Snowflake Data Engineer
Location: Remote
Long Term Contract Role
Job Description:
• 5+ years Data Engineering (real production delivery)
• Strong Snowflake implementation experience
• Clean, production-grade Python (packaging, logging, performance-aware code)
• dBT, Advanced SQL + strong data modeling (dimensional / domain-driven)
• ETL/ELT pipelines — incremental loads, CDC, backfills, error handling
• Cloud environments (AWS / Azure / Google Cloud Platform) + production support mindset
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Globex IT Solutions INC, is seeking the following. Apply via Dice today!
Job Title: Senior Snowflake Data Engineer
Location: Remote
Long Term Contract Role
Job Description:
• 5+ years Data Engineering (real production delivery)
• Strong Snowflake implementation experience
• Clean, production-grade Python (packaging, logging, performance-aware code)
• dBT, Advanced SQL + strong data modeling (dimensional / domain-driven)
• ETL/ELT pipelines — incremental loads, CDC, backfills, error handling
• Cloud environments (AWS / Azure / Google Cloud Platform) + production support mindset
