KPG99 INC
Data Engineer-W2
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (W2) with 6+ years of experience, focusing on SQL, customer data, and scalable ETL/ELT pipelines. The contract is for 3–6 months, remote, requiring knowledge of data governance and AWS Redshift.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 18, 2025
🕒 - Duration
3 to 6 months
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Programming #Informatica #SQL (Structured Query Language) #Java #Data Ingestion #AWS (Amazon Web Services) #Data Modeling #Data Management #Python #"ETL (Extract #Transform #Load)" #Cloud #Scala #GDPR (General Data Protection Regulation) #Redshift #Metadata #Data Governance #Data Engineering #Data Warehouse #Data Pipeline #MDM (Master Data Management) #Scripting
Role description
Job Title: Data Engineer
Location: Remote
Duration: 3–6 Months (Possible Extension or Temp-to-Hire)
Job Summary
We are seeking a highly skilled Data Engineer with strong SQL expertise and experience working across enterprise customer data ecosystems. The ideal candidate will have a background in customer data environments, robust data pipeline development, and data governance best practices.
This role supports Customer 360 initiatives, data ingestion, identity resolution, and enterprise integrations within modern data platforms.
Qualifications
• 6+ years of experience in Data Engineering or Data Platform Development.
• Minimum 3+ years working with customer data.
• Strong proficiency in SQL and data modeling.
• Experience building scalable ETL/ELT pipelines.
• Knowledge of data governance, metadata management, and privacy frameworks (GDPR, CCPA).
• Experience with AWS Redshift or other cloud-based data warehouses.
• Experience with CDP platforms (Real-Time CDP, Data Ingestion, Identity Service, Segmentation) is a plus.
• Familiarity with MDM systems such as Stibo or Informatica is preferred.
• Knowledge of programming/scripting languages such as Python, Scala, or Java is a plus.
Job Title: Data Engineer
Location: Remote
Duration: 3–6 Months (Possible Extension or Temp-to-Hire)
Job Summary
We are seeking a highly skilled Data Engineer with strong SQL expertise and experience working across enterprise customer data ecosystems. The ideal candidate will have a background in customer data environments, robust data pipeline development, and data governance best practices.
This role supports Customer 360 initiatives, data ingestion, identity resolution, and enterprise integrations within modern data platforms.
Qualifications
• 6+ years of experience in Data Engineering or Data Platform Development.
• Minimum 3+ years working with customer data.
• Strong proficiency in SQL and data modeling.
• Experience building scalable ETL/ELT pipelines.
• Knowledge of data governance, metadata management, and privacy frameworks (GDPR, CCPA).
• Experience with AWS Redshift or other cloud-based data warehouses.
• Experience with CDP platforms (Real-Time CDP, Data Ingestion, Identity Service, Segmentation) is a plus.
• Familiarity with MDM systems such as Stibo or Informatica is preferred.
• Knowledge of programming/scripting languages such as Python, Scala, or Java is a plus.
