Azure Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a remote Azure Data Engineer position on a W2 contract for over 6 months, offering expertise in Snowflake, Azure Data Lake, and Azure Data Factory, with strong SQL and data engineering experience required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 12, 2025
🕒 - Project duration
More than 6 months
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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
#"ETL (Extract #Transform #Load)" #Data Pipeline #SQL (Structured Query Language) #Data Lake #Data Science #Computer Science #Azure #Azure Data Factory #Data Integration #Snowflake #Data Engineering #ADF (Azure Data Factory)
Role description
W2 contract role (No C2C)
Remote, with Long term Contract.
Key Qualifications
• Hands-on expertise with Snowflake, Azure Data Lake, and Azure Data Factory.
• Strong experience in data engineering, architecture, or system integration.
• Strong SQL and database experience.
• Experience with ETL/data integration processes.
• Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field.
Responsibilities
• Design, build, and optimize data pipelines and architectures.
• Integrate diverse data sources into centralized platforms.
• Collaborate with teams to ensure reliable, high-quality data solutions.
• Support system upgrades, testing, and validation activities.
If you’re interested, please share your updated resume and availability for a quick call.
W2 contract role (No C2C)
Remote, with Long term Contract.
Key Qualifications
• Hands-on expertise with Snowflake, Azure Data Lake, and Azure Data Factory.
• Strong experience in data engineering, architecture, or system integration.
• Strong SQL and database experience.
• Experience with ETL/data integration processes.
• Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field.
Responsibilities
• Design, build, and optimize data pipelines and architectures.
• Integrate diverse data sources into centralized platforms.
• Collaborate with teams to ensure reliable, high-quality data solutions.
• Support system upgrades, testing, and validation activities.
If you’re interested, please share your updated resume and availability for a quick call.
