Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Data Engineer for a 10+ month contract in NYC (Hybrid). Key skills include Azure Data Engineering, Python or Java programming, and Snowflake proficiency. A Bachelor's degree and 8 years of experience in data engineering are required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 30, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
New York City Metropolitan Area
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🧠 - Skills detailed
#Azure #Data Engineering #Computer Science #Java #Programming #Linux #Python #Documentation #Snowflake #Spark (Apache Spark) #Collibra #Data Pipeline #Data Governance
Role description
Title: Senior Data Engineer Location: NYC, NY (Hybrid 3 days onsite and 2 days remote) Duration: 10+month contract Job Description: Contract Description: Responsibilities: β€’ Design and implement robust data pipelines on Azure to ensure efficient data flow and processing β€’ Collaborate with cross-functional teams to gather requirements and translate them into technical specifications for data solutions β€’ Monitor and optimize data pipeline performance, ensuring high availability and reliability β€’ Ensure data governance and quality standards are met, utilizing tools like Collibra β€’ Develop and maintain documentation for data processes, architecture, and best practices Qualifications: β€’ Bachelor’s degree in Computer Science, Information Technology, or a related field; relevant certifications in Azure Data Engineering are preferred β€’ Minimum of 8 years of professional experience in data engineering, with a strong focus on Azure technologies β€’ Mandatory skills include Azure Data Engineering experience, programming knowledge in Python or Java, and proficiency in Snowflake β€’ Familiarity with Spark and Linux management is essential β€’ This position requires 3 days onsite in NYC and allows for remote work for the remaining days.