Iris Software Inc.
Big Data Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Big Data Developer in Whippany, New Jersey, on a long-term contract, requiring 7+ years of experience. Key skills include Apache Spark, Hadoop, Python, Scala, Java, SQL, and Kafka. On-site work is mandatory.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 30, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Whippany, NJ
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🧠 - Skills detailed
#Spark (Apache Spark) #Data Pipeline #Big Data #Java #HDFS (Hadoop Distributed File System) #Agile #"ETL (Extract #Transform #Load)" #Hadoop #Kafka (Apache Kafka) #SQL (Structured Query Language) #Apache Spark #Python #Programming #Scala
Role description
Job Title: Big Data Developer
Location: Whippany, New Jersey, United States
Experience: 7+ Years
Employment Type: Long-Term Contract
Job Description:
• 5–7 years of experience as a Big Data Developer designing and building scalable data solutions
• Hands-on expertise with Apache Spark, Hadoop (HDFS, Hive), and Big Data ecosystems
• Strong programming skills in Python, Scala, or Java with solid SQL knowledge
• Develop and maintain ETL/data pipelines for large-scale structured and unstructured data
• Experience with Kafka or real-time data streaming technologies
• Optimize data workflows for performance, reliability, and scalability
• Collaborate with cross-functional teams in an Agile environment
Job Title: Big Data Developer
Location: Whippany, New Jersey, United States
Experience: 7+ Years
Employment Type: Long-Term Contract
Job Description:
• 5–7 years of experience as a Big Data Developer designing and building scalable data solutions
• Hands-on expertise with Apache Spark, Hadoop (HDFS, Hive), and Big Data ecosystems
• Strong programming skills in Python, Scala, or Java with solid SQL knowledge
• Develop and maintain ETL/data pipelines for large-scale structured and unstructured data
• Experience with Kafka or real-time data streaming technologies
• Optimize data workflows for performance, reliability, and scalability
• Collaborate with cross-functional teams in an Agile environment
