Cloudera Data Engineer - Remote

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Cloudera Data Engineer - Remote in the United States .

We are seeking a skilled Cloudera Data Engineer to lead the migration and ongoing operation of a Medicaid Data Warehouse within an AWS environment. In this role, you will ensure the seamless transfer of Cloudera / Hive / Scala-based data pipelines between AWS accounts while maintaining operational reliability and data integrity. You will collaborate closely with the infrastructure and project teams to optimize cluster performance, validate data, and maintain scheduling and job dependencies. This is a hands-on role that offers the chance to work on complex data engineering tasks, enhance system efficiency, and support enterprise-scale data operations in a dynamic, collaborative environment.

Accountabilities :

• Replicate, configure, and optimize Cloudera clusters (HDFS, YARN, Hive, Spark) in new AWS environments.
• Reconfigure cluster connectivity, job dependencies, and metadata stores for seamless migration.
• Deploy, test, and operate Hive and Spark (Scala) jobs post-migration.
• Monitor job performance, troubleshoot failures, and implement recovery / alerting mechanisms.
• Manage user roles, access, and maintain cluster security within the Cloudera environment.
• Implement routine data housekeeping, archiving, and operational maintenance processes.
• Document configurations, migration steps, and maintain detailed operational runbooks.

Requirements

Benefits

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias , focusing solely on your fit for the role.

Once the shortlist is completed, it is shared directly with the company that owns the job opening. The final decision and next steps (such as interviews or assessments) are then managed by their internal hiring team.

Thank you for your interest!

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