[Hiring] Senior Data Engineer @Novalink Solutions LLC

Role Description

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.

This position serves as the single primary technical owner of the application framework and is expected to maintain sufficient expertise across the complete technology stack—including Scala, Apache Spark, Hive, Drools, and the Cloudera Data Platform—to ensure the ongoing reliability, maintainability, and operational continuity of this mission-critical system.

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.

Requirements

• Architecture: Cloudera Data - Advanced (7-9 Years)
• Distributed Data Processing: Minimum 7 years of experience developing enterprise-scale distributed data processing applications - Advanced (7-9 Years)
• Drools: Experience implementing business rules using the Drools Rules Engine - Proficient (4-6 Years)
• Scala: Strong hands-on development experience with Scala - Proficient (4-6 Years)
• SQL and Linux: Strong SQL development and query optimization skills; Experience supporting Linux-based production environments
• Apache experience: Experience developing applications using Apache Spark 2.x and/or Spark 3.x; Experience with Apache Hive 3.x for data processing and Hive table management - Proficient (4-6 Years)
• Cloudera: Experience developing and maintaining applications running on Cloudera Data Platform (CDP) 7.x or equivalent enterprise Hadoop distributions

Company Description