Application Data Developer

Job Description

Title: Application Data Developer
Location: Lincoln, NE (Remote) locals only
Duration: Long term
Interview – Webcam

Primary Ownership:
• Own the Scala/Spark application framework supporting Medicaid Encounter Processing.
• Own the Drools business rule implementation and ongoing rule maintenance.
• Own enterprise data ingestion processes for master data and source system files.
• Own Spark and Hive batch processing workflows.
• Own production issue investigation and application defect resolution.
• Own production releases, version management, and deployment coordination.
• Own application performance tuning and optimization.
• Own technical documentation, operational procedures, and knowledge transfer.
• Provide basic operational administration and monitoring of the Cloudera Data Platform while coordinating with infrastructure and cloud operations teams.
Required Qualifications
• Minimum 7 years of experience developing enterprise-scale distributed data processing applications.
• Strong hands-on development experience with Scala.
• Experience developing applications using Apache Spark 2.x and/or Spark 3.x.
• Experience developing and maintaining applications running on Cloudera Data Platform (CDP) 7.x or equivalent enterprise Hadoop distributions.
• Experience with Apache Hive 3.x for data processing and Hive table management.
• Experience implementing business rules using the Drools Rules Engine.
• Strong SQL development and query optimization skills.
• Experience supporting Linux-based production environments.
• Experience troubleshooting distributed Spark applications in production.
• Experience using Git and modern version control practices.
Preferred Qualifications
• Medicaid or healthcare experience.
• Experience with Medicaid Encounter Processing.
• Experience with Cloudera Manager, HDFS, and YARN.
• Experience integrating with IBM DataStage.
• Familiarity with AWS infrastructure supporting Cloudera.
• Experience with Agile, Jira, and Confluence.