Intracruit Solutions
Sr. Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Engineer, lasting 6 months, with a pay rate of "unknown," remote work in EST hours. Requires 7+ years in data engineering, expertise in Azure and Snowflake, proficiency in SQL and Python, and strong data security knowledge.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 27, 2026
🕒 - Duration
More than 6 months
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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
#ADLS (Azure Data Lake Storage) #Microsoft Azure #Snowflake #Azure #Logic Apps #Data Integration #Data Warehouse #Azure Data Factory #Data Engineering #GIT #Security #Data Modeling #Azure ADLS (Azure Data Lake Storage) #Python #Storage #"ETL (Extract #Transform #Load)" #Data Security #SQL (Structured Query Language) #Compliance #DevOps #Data Lake #ADF (Azure Data Factory)
Role description
Duration – 6 months
Location – remote – EST hours – 8 AM EST
LinkedIn should be created before 2020 and should be verified - no google voice number
Sr. Data Engineer
Qualifications
· 7+ years of experience in data engineering or related roles.
· Strong hands-on experience with Microsoft Azure, including: Azure Data Factory, Azure Data Lake Storage (ADLS Gen2), Azure Functions / Logic Apps (preferred)
· Extensive experience with Snowflake: Data warehouse design, Performance tuning, Security and access control, Streams, tasks, and time travel
· Proficiency in SQL and Python.
· Experience with ETL/ELT frameworks and data integration patterns.
· Knowledge of data modeling concepts (Kimball, Inmon).
· Experience with Git, DevOps, and CI/CD tools.
· Strong understanding of data security, governance, and compliance.
· Excellent problem-solving and communication skills.
Duration – 6 months
Location – remote – EST hours – 8 AM EST
LinkedIn should be created before 2020 and should be verified - no google voice number
Sr. Data Engineer
Qualifications
· 7+ years of experience in data engineering or related roles.
· Strong hands-on experience with Microsoft Azure, including: Azure Data Factory, Azure Data Lake Storage (ADLS Gen2), Azure Functions / Logic Apps (preferred)
· Extensive experience with Snowflake: Data warehouse design, Performance tuning, Security and access control, Streams, tasks, and time travel
· Proficiency in SQL and Python.
· Experience with ETL/ELT frameworks and data integration patterns.
· Knowledge of data modeling concepts (Kimball, Inmon).
· Experience with Git, DevOps, and CI/CD tools.
· Strong understanding of data security, governance, and compliance.
· Excellent problem-solving and communication skills.
