Application Data Engineer

Location: Remote, Nebraska | Duration: 9+ Months | Shift: 08:00 AM – 5:00 PM (Mon‑Fri)

About the role

The Senior Data Engineer will serve as the primary technical owner responsible for the ongoing maintenance, enhancement, operational support, and reliability of Nebraska's enterprise data processing framework supporting Medicaid Encounter Processing and enterprise data ingestion. This mission‑critical platform processes provider, member, reference, and encounter data used by downstream Medicaid systems and reporting. The application framework is developed using Scala, Apache Spark, Hive, and Drools and operates on the Cloudera Data Platform (CDP).

Following the State's migration from an Apache open‑source Hadoop environment to Cloudera Data Platform, this position will assume primary responsibility for maintaining the production code base, implementing business and regulatory changes, supporting production operations, resolving application defects, and performing routine operational administration of the data processing environment.

The role requires sufficient expertise across the complete technology stack—including Scala, Apache Spark, Hive, Drools, and the Cloudera Data Platform—to ensure ongoing reliability, maintainability, and operational continuity of this mission‑critical system.

Responsibilities

• Maintain, enhance, and provide operational support for the Medicaid enterprise data processing framework.
• Ensure reliability and availability of the platform that processes provider, member, reference, and encounter data.
• Maintain the production code base and implement business and regulatory changes.
• Support production operations, resolve application defects, and perform routine administrative tasks.
• Troubleshoot distributed Spark applications in a production environment.
• Maintain expertise across Scala, Apache Spark, Hive, Drools, and the Cloudera Data Platform.
• Collaborate with stakeholders to ensure data processing meets Medicaid system and reporting requirements.

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.
• Proficiency with Git and modern version‑control practices.

Preferred Qualifications

• Medicaid or healthcare industry experience.
• Experience with Medicaid Encounter Processing.
• Familiarity with Cloudera Manager, HDFS, and YARN.
• Experience integrating with IBM DataStage.
• Knowledge of AWS infrastructure supporting Cloudera.
• Experience with Agile methodologies, Jira, and Confluence.

Schedule

08:00 AM – 5:00 PM, Monday through Friday.