Jobs via Dice

Senior Data Engineer (Hybrid Onsite - W2 Contract)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Atlanta, GA, on a long-term W2 contract. Requires 5+ years of experience with Apache Spark, Scala, and Big Data ecosystems. Key skills include data pipeline design and distributed computing expertise.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
December 4, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#Scala #Data Pipeline #Apache Spark #HBase #Distributed Computing #Kafka (Apache Kafka) #Spark (Apache Spark) #HDFS (Hadoop Distributed File System) #Documentation #Java #Data Engineering #Big Data
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Xoriant Corporation, is seeking the following. Apply via Dice today! Job Title : Senior Data Engineer Location: Atlanta, GA (3 days a week Hybrid onsite) Duration : Long term contract Contract: W2 Job Description: Key Responsibilities: β€’ Design and implement high-performance data pipelines using Apache Spark and Scala. β€’ Optimize Spark jobs for efficiency, scalability, and reliability. β€’ Collaborate with cross-functional teams and diverse data sources to deliver data-driven insights. β€’ Monitor, troubleshoot, and maintain production data pipelines to ensure seamless operations. β€’ Create and maintain comprehensive documentation for all data systems and processes. Required Skills & Qualifications: β€’ 5+ years of hands-on experience with Apache Spark and Scala Java β€’ Strong understanding of distributed computing concepts and Spark internals. β€’ Experience with Big Data ecosystems including HDFS, Hive, Kafka, and HBase. β€’ Proven ability to write optimized, maintainable Spark jobs using Scala. β€’ Strong problem-solving and analytical skills, with a focus on data-driven solutions.