Lead Data Engineer (W2)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer (W2, Remote) requiring 10–15+ years of experience. Key skills include deep Data Warehousing, advanced SQL, senior-level Snowflake & Azure expertise, and strong JavaScript & NoSQL background. Leadership experience is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 13, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Cloud #JavaScript #Data Engineering #Azure #Snowflake #Azure cloud #"ACID (Atomicity #Consistency #Isolation #Durability)" #Leadership #Data Quality #"ETL (Extract #Transform #Load)" #Data Vault #NoSQL #SQL (Structured Query Language) #Vault #Data Modeling #Security
Role description
Data Engineer – Lead (W2 Contract, Remote)
We’re looking for a 10–15+ year experienced Data Engineering Leader to guide complex projects and mentor a team.
Key Responsibilities
• Lead large-scale data engineering initiatives (models, pipelines, workflows).
• Act as SME for data quality, usage, and integration best practices.
• Design & build robust ETL/ELT pipelines and integration solutions.
• Own data modeling, testing, and architecture decisions.
Required Skills
• Deep Data Warehousing expertise (Kimball, Inmon, ODS, SCD, star schema, data vault).
• Advanced SQL (DDL/DML, 3NF, ACID, optimization, security).
• Senior-level Snowflake & Azure Cloud experience.
• Strong JavaScript & NoSQL background.
• Proven leadership & hands-on architecture skills.
Data Engineer – Lead (W2 Contract, Remote)
We’re looking for a 10–15+ year experienced Data Engineering Leader to guide complex projects and mentor a team.
Key Responsibilities
• Lead large-scale data engineering initiatives (models, pipelines, workflows).
• Act as SME for data quality, usage, and integration best practices.
• Design & build robust ETL/ELT pipelines and integration solutions.
• Own data modeling, testing, and architecture decisions.
Required Skills
• Deep Data Warehousing expertise (Kimball, Inmon, ODS, SCD, star schema, data vault).
• Advanced SQL (DDL/DML, 3NF, ACID, optimization, security).
• Senior-level Snowflake & Azure Cloud experience.
• Strong JavaScript & NoSQL background.
• Proven leadership & hands-on architecture skills.
