Senior Data Engineer (Medicaid)

Senior Data Engineer – Encounter Processing & Data Platform (Remote)
Location: Remote (Lincoln, NE)
Duration: 12 Months

Seeking a Senior Data Engineer to support and maintain its enterprise Medicaid Encounter Processing and Data Platform. The selected candidate will be responsible for maintaining production data pipelines, implementing enhancements, resolving production issues, optimizing performance, and supporting enterprise data processing on the Cloudera Data Platform (CDP).

• Maintain and enhance Scala/Spark-based data processing applications.
• Support Apache Spark, Hive, and Drools-based processing frameworks.
• Manage enterprise data ingestion and batch processing workflows.
• Troubleshoot production issues and resolve application defects.
• Coordinate production deployments and version control.
• Optimize application performance and maintain technical documentation.
• Support Cloudera Data Platform (CDP) operations.

• 7+ years of experience with enterprise-scale data engineering.
• Strong hands-on experience with Scala and Apache Spark.
• Experience with Cloudera Data Platform (CDP) and Apache Hive.
• Experience implementing business rules using Drools.
• Strong SQL and Linux administration skills.
• Experience troubleshooting distributed Spark applications.
• Experience with Git and version control.

• Medicaid or healthcare domain experience.
• Experience with Medicaid Encounter Processing.
• Cloudera Manager, HDFS, and YARN.
• IBM DataStage and AWS.
• Agile, Jira, and Confluence experience.