> Markdown version of [/jobs/ext/3730685-hadoop-data-engineer](https://www.wearedevelopers.com/jobs/ext/3730685-hadoop-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Hadoop Data Engineer - **Company:** Everforth Apex - **Location:** Jersey City, NJ, United States - **Contract:** Permanent contract - **Skills:** Big Data, Information Engineering, Distributed Systems, Github, Apache Hadoop, Hadoop Distributed File System, Apache Hive, Data Processing, Apache Yarn, System Availability, Apache Spark, Infrastructure Automation Frameworks, Deployment Automation, Apache Kafka, Video Streaming, Splunk, Data Pipelines, Jenkins - **Published:** October 14, 2026 - **Apply:** https://www.dice.com/job-detail/f40e4901-e9fb-444b-9a72-cb7ebd53af06 ## About the Role * Experience with Big Data Technologies, including the Hadoop ecosystem (HDFS, Hive, Spark, YARN). * Experience in data engineering and distributed systems. * Demonstrated leadership and client relationship skills. * A professional work ethic, flexibility, and reliability. * Ability to work individually or within a team. * Ability to work under pressure and deliver on time. ## Description * Work on Big Data platforms using the Hadoop ecosystem (HDFS, Hive, Spark, YARN) and streaming technologies such as Kafka. * Translate business requirements into scalable data solutions and technical implementations. * Troubleshoot and optimize data processing jobs, including batch and streaming pipelines. * Ensure data quality, performance, and reliability across systems. * Implement and maintain CI/CD pipelines using tools like Jenkins or GitHub Actions. * Support automated deployments and release processes. * Work with infrastructure as code tools. * Monitor systems using tools like Splunk to improve platform reliability, scalability, and operational efficiency.