Senior Data Engineer – Encounter Processing & Data Platform
Job Summary
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.
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.
SKILLS: please fill the number of years of experience for each skill
|
Skill |
Description |
Competency |
Required |
Last Used |
Years of Experience |
|
Cloudera Data |
|
Advanced (7-9 Years) |
Yes |
|
|
|
Distributed Data Processing |
• Minimum 7 years of experience developing enterprise-scale distributed data processing applications. |
Advanced (7-9 Years) |
Yes |
|
|
|
Drools |
Experience implementing business rules using the Drools Rules Engine |
Proficient (4-6 Years) |
Yes |
|
|
|
Scala |
• Strong hands-on development experience with Scala. |
Proficient (4-6 Years) |
Yes |
|
|
|
SQL and Linux |
• Strong SQL development and query optimization skills • Experience supporting Linux-based production environments |
|
Yes |
|
|
|
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) |
Yes |
|
|
|
Cloudera |
• Experience developing and maintaining applications running on Cloudera Data Platform (CDP) 7.x or equivalent enterprise Hadoop distributions |
|
No |
|
|
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