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

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

TRIMAH TECHNOLOGIES LLC • Columbus, Ohio Metropolitan Area, US

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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 Youll 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

Bachelors 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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