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Senior Data Engineer

Location: Remote
Compensation: Hourly
Reviewed: Thu, Sep 24, 2026
This job expires in: 30 days

Job Summary

Serving as the primary technical owner, the fully remote Senior Data Engineer will manage the maintenance, enhancement, and operational support of an enterprise data processing framework for Medicaid Encounter Processing, utilizing technologies such as Scala, Apache Spark, and Cloudera Data Platform.

Key responsibilities
  • Own the Scala/Spark application framework and manage enterprise data ingestion processes
  • Implement and maintain business rules using the Drools Rules Engine while optimizing application performance
  • Coordinate production releases, troubleshoot application defects, and provide operational administration for the Cloudera Data Platform
Required qualifications
  • Minimum 7 years of experience in developing enterprise-scale distributed data processing applications
  • Strong hands-on development experience with Scala and Apache Spark
  • Experience with Cloudera Data Platform (CDP) and Apache Hive for data processing
  • Proficient in implementing business rules using the Drools Rules Engine and strong SQL development skills
  • Experience supporting Linux-based production environments and troubleshooting distributed Spark applications

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