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W2 Contract Req: Big Data/Spark Developer (Hybrid/Columbus, OH)
W2 Contract Req: Big Data/Spark Developer (Hybrid/Columbus, OH)TRIMAH TECHNOLOGIES LLC • Columbus, Ohio Metropolitan Area, United States
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W2 Contract Req : Big Data / Spark Developer (Hybrid / Columbus, OH)

W2 Contract Req : Big Data / Spark Developer (Hybrid / Columbus, OH)

TRIMAH TECHNOLOGIES LLC • Columbus, Ohio Metropolitan Area, United States
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  • [job_card.full_time]
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Job Title : Big Data / Spark Developer

Location : Columbus, OH (Hybrid)

Citizenship : USC / GC

Job Type : W2 Contract

Duration : 12+ Months

About the Role

The Big Data Developer will play a critical role on the Big Data engineering team, designing and implementing large-scale data processing systems that power scientific research and innovation. The ideal candidate has hands-on experience building enterprise-grade data pipelines, working with distributed systems, and optimizing data processing workflows.

This is a long-term project (12+ months) with high visibility, cutting-edge tools, and opportunities to influence technical direction.

What You’ll Do

  • Data Pipeline Design & Development
  • Design, build, and deploy scalable data pipelines for ingesting, processing, transforming, and storing high-volume datasets.
  • Implement streaming and batch-processing solutions using Hadoop, Spark, and cloud-based tools.
  • Data Architecture & Engineering
  • Develop and maintain data architecture and data flow models.
  • Ensure data reliability, accuracy, and integrity across all environments.
  • Support data warehousing strategies and best practices.
  • Data Quality, Security & Compliance
  • Implement automated data validation, error handling, and monitoring.
  • Ensure compliance with internal security controls and regulatory standards.
  • Partner with governance teams to enforce data quality and security guidelines.
  • Cross-Functional Collaboration
  • Work closely with data scientists, analysts, product teams, and application developers.
  • Translate business requirements into robust technical solutions.
  • Participate in Agile ceremonies and contribute to technical design discussions.
  • Performance Optimization
  • Tune Spark applications, Hadoop jobs, and distributed data systems for performance and cost efficiency.
  • Troubleshoot bottlenecks and implement improvements to system performance.
  • Technical Leadership
  • Provide mentorship to junior developers and contribute to coding standards, best practices, and technical documentation.

Required Skills & Qualifications

  • 4+ years of Big Data Development experience in Hadoop ecosystems
  • 2+ years of hands-on development with Apache Spark
  • Proficiency in Java, Scala, or Python
  • Strong understanding of distributed systems , ETL , data warehousing , and data modeling concepts
  • Experience with large-scale datasets , performance tuning, and troubleshooting
  • Strong problem-solving, communication, and collaboration skills
  • Bachelor’s degree in Computer Science, Engineering, or related discipline

    • Preferred Skills

  • Experience working with AWS cloud services (EMR, S3, Lambda, Glue, etc.)
  • Experience with Spark 3.x or 4.x
  • Exposure to Kubernetes, Airflow, or similar orchestration tools
  • Familiarity with CI / CD and DevOps automation for data engineering

    • Why This Opportunity Stands Out

  • Long-term project stability (12+ months, likely extension)
  • Ability to work on high-impact scientific and research-driven datasets
  • Hands-on cloud modernization (AWS) and next-generation big data tooling
  • Collaborative and innovative engineering culture
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