nTech Workforce
Lead Data Engineer (ONLY W2)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer (ONLY W2) with a contract length of "unknown", offering a pay rate of "unknown". Key skills include 7+ years in Java/Python/Scala, 3+ years in Data Integration with Hadoop, and AWS experience. Healthcare experience preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 27, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Reston, VA
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🧠 - Skills detailed
#Sqoop (Apache Sqoop) #S3 (Amazon Simple Storage Service) #Scripting #Cloud #Data Analysis #Data Integration #Redshift #Cloudera #Data Engineering #Kafka (Apache Kafka) #Scala #Shell Scripting #Data Ingestion #Java #Spark (Apache Spark) #Programming #Lambda (AWS Lambda) #Hadoop #AWS (Amazon Web Services) #Python #SQL (Structured Query Language) #Big Data #Automated Testing
Role description
NO C2C-----NO C2C----NO C2C----NO C2C--------
Requirements:
• 7+ years of strong programming background with Java/Python/Scala
• At least 3+ years of experience working on Data Integration projects using Hadoop MapReduce, Sqoop, Oozie , Hive, Spark and other related Big Data technologies
• At least 2+ years of experience on AWS preferably leveraging services such as Lambda, S3, Redshift, Glue services
• Some working experience building Kafka based data ingestion/retrieval programs
• Experience tuning Hadoop/Spark/hive parameters for optimal performance
• Strong SQL query writing and data analysis skills
• Good shell scripting experience
• Rigor in high code quality, automated testing, and other engineering best practices, ability to write reusable code components
Preferences:
• Healthcare experience
• Cloudera Developer certification
NO C2C-----NO C2C----NO C2C----NO C2C--------
Requirements:
• 7+ years of strong programming background with Java/Python/Scala
• At least 3+ years of experience working on Data Integration projects using Hadoop MapReduce, Sqoop, Oozie , Hive, Spark and other related Big Data technologies
• At least 2+ years of experience on AWS preferably leveraging services such as Lambda, S3, Redshift, Glue services
• Some working experience building Kafka based data ingestion/retrieval programs
• Experience tuning Hadoop/Spark/hive parameters for optimal performance
• Strong SQL query writing and data analysis skills
• Good shell scripting experience
• Rigor in high code quality, automated testing, and other engineering best practices, ability to write reusable code components
Preferences:
• Healthcare experience
• Cloudera Developer certification
