KPG99 INC
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Engineer in Manhattan, NY, offering a 12-month contract at a competitive pay rate. Requires a Bachelor's in Computer Science, 7+ years in data engineering, and expertise in Azure, Databricks, PySpark, SQL, and ETL/ELT pipelines.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date
October 8, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
1099 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Manhattan, NY
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🧠 - Skills detailed
#GIT #Delta Lake #DevOps #Cloud #Spark (Apache Spark) #Azure Data Factory #SQL (Structured Query Language) #Python #Data Modeling #Data Engineering #Distributed Computing #"ETL (Extract #Transform #Load)" #ADF (Azure Data Factory) #Data Lake #PySpark #Azure DevOps #Azure #Storage #Azure SQL #Computer Science #Scala #Databricks #Jenkins
Role description
Title: Sr. Data Engineer
Location: Manhattan, NY (3 days a week on site)
Duration: 12 month+ contract
Required Qualifications
• Bachelor’s in Computer Science, Engineering, or related field.
• 7+ years in data engineering with hands-on experience in cloud (Azure preferred).
• Strong experience with Databricks, PySpark, Azure Data Factory, and SQL.
• Strong Python experience
• Proven ability to design and optimize scalable ETL/ELT pipelines.
• Knowledge of Delta Lake, data modeling, and distributed computing.
• Familiarity with DevOps/CI/CD practices and Git-based workflows.
• Excellent communication and collaboration skills.
Tech Stack
• Databricks, PySpark, Delta Lake
• Azure Data Factory, Azure Data Lake, Blob Storage, Azure SQL
• SQL (advanced), Python (for pipelines/integrations)
• DevOps tools (Azure DevOps, Jenkins), Git
Title: Sr. Data Engineer
Location: Manhattan, NY (3 days a week on site)
Duration: 12 month+ contract
Required Qualifications
• Bachelor’s in Computer Science, Engineering, or related field.
• 7+ years in data engineering with hands-on experience in cloud (Azure preferred).
• Strong experience with Databricks, PySpark, Azure Data Factory, and SQL.
• Strong Python experience
• Proven ability to design and optimize scalable ETL/ELT pipelines.
• Knowledge of Delta Lake, data modeling, and distributed computing.
• Familiarity with DevOps/CI/CD practices and Git-based workflows.
• Excellent communication and collaboration skills.
Tech Stack
• Databricks, PySpark, Delta Lake
• Azure Data Factory, Azure Data Lake, Blob Storage, Azure SQL
• SQL (advanced), Python (for pipelines/integrations)
• DevOps tools (Azure DevOps, Jenkins), Git
