Jobs via Dice
Big Data Engineer/Developer - W2 Contract
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Big Data Engineer/Developer on a 12+ month W2 contract, based in NJ/hybrid. Key skills include PySpark or Scala, Hadoop distributions, Kafka, Hive, REST API development, and familiarity with cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 22, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Jersey City, NJ
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🧠 - Skills detailed
#Cloud #AI (Artificial Intelligence) #Dremio #Kafka (Apache Kafka) #REST (Representational State Transfer) #Azure #Big Data #Scala #Spark (Apache Spark) #API (Application Programming Interface) #Python #GCP (Google Cloud Platform) #Hadoop #Data Engineering #AWS (Amazon Web Services) #Cloudera #PySpark #REST API #Batch
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, eTek IT Services, Inc., is seeking the following. Apply via Dice today!
Big data engineer/developer
12+ months contract
NJ/hybrid
• experience in Big Data Engineering.
• Strong hands-on experience with PySpark or Scala.
• Deep expertise in on-prem Hadoop distributions (Cloudera, Hortonworks, MapR) or cloud-based big data platforms.
• Proficiency in Kafka batch processing, Hive, and Dremio.
• Solid understanding of REST API development using Python frameworks.
• Familiarity with cloud platforms (Google Cloud Platform, AWS, or Azure).
• Experience or exposure to AI and RAG architectures is a plus.
• Excellent problem-solving, communication, and collaboration skills.
Dice is the leading career destination for tech experts at every stage of their careers. Our client, eTek IT Services, Inc., is seeking the following. Apply via Dice today!
Big data engineer/developer
12+ months contract
NJ/hybrid
• experience in Big Data Engineering.
• Strong hands-on experience with PySpark or Scala.
• Deep expertise in on-prem Hadoop distributions (Cloudera, Hortonworks, MapR) or cloud-based big data platforms.
• Proficiency in Kafka batch processing, Hive, and Dremio.
• Solid understanding of REST API development using Python frameworks.
• Familiarity with cloud platforms (Google Cloud Platform, AWS, or Azure).
• Experience or exposure to AI and RAG architectures is a plus.
• Excellent problem-solving, communication, and collaboration skills.
