Nifi Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Nifi Data Engineer with 7-10 years of experience, offering a hybrid contract for 6 months at $XX/hour. Key skills include Snowflake, Apache NiFi, PySpark, and DBT. Candidates must be located on the East Coast.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 4, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
New Jersey, United States
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🧠 - Skills detailed
#Azure #dbt (data build tool) #Data Processing #Cloud #"ETL (Extract #Transform #Load)" #Apache NiFi #Data Storage #Scala #Storage #Snowflake #Spark (Apache Spark) #PySpark #SQL (Structured Query Language) #Data Engineering #AWS (Amazon Web Services) #Data Pipeline #NiFi (Apache NiFi)
Role description
Data Engineer (W2 ROLE)
• Travel: once a month onsite at the New Jersey offices. We are looking for candidates from the East Coast
Skills
• Snowflake - Experience in using Snowflake for data storage and analysis
• Apache NiFi - Proficiency in building and managing data flows using NiFi
• PySpark - Knowledge in large-scale data processing with PySpark
• DBT (Data Build Tool) - Experience in data transformation and building data models with DBT
• Pipeline Building - Ability to design and construct efficient and scalable data pipelines
Qualifications
• Experience - 7-10 years of experience in data engineering and pipeline building
• Certifications - Certifications in Snowflake (nice to have)
• SQL Knowledge - Proficiency in SQL for querying and manipulating data
• Cloud Experience - Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
• Problem-Solving Skills - Ability to identify and resolve complex data-related issues
Data Engineer (W2 ROLE)
• Travel: once a month onsite at the New Jersey offices. We are looking for candidates from the East Coast
Skills
• Snowflake - Experience in using Snowflake for data storage and analysis
• Apache NiFi - Proficiency in building and managing data flows using NiFi
• PySpark - Knowledge in large-scale data processing with PySpark
• DBT (Data Build Tool) - Experience in data transformation and building data models with DBT
• Pipeline Building - Ability to design and construct efficient and scalable data pipelines
Qualifications
• Experience - 7-10 years of experience in data engineering and pipeline building
• Certifications - Certifications in Snowflake (nice to have)
• SQL Knowledge - Proficiency in SQL for querying and manipulating data
• Cloud Experience - Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
• Problem-Solving Skills - Ability to identify and resolve complex data-related issues
