Senior Data Engineer - Encounter Processing & Data Platform

Key Responsibilities
Own the Scala and 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
Investigate production issues and resolve application defects
Manage production releases, version management, and deployment coordination
Perform application performance tuning and optimization
Maintain technical documentation, operational procedures, and knowledge transfer materials
Provide basic operational administration and monitoring of the Cloudera Data Platform while coordinating with infrastructure and cloud operations teams
Maintain and enhance the production code base following business and regulatory changes
Support the ongoing reliability, maintainability, and operational continuity of the data processing platform
Required Qualifications
7+ years of experience
Bachelors Degree
Skills
Scala Development
Apache Spark
Apache Hive
Drools Rules Engine
Cloudera Data Platform
SQL Development
Linux Production Environments
Git and Version Control
Enterprise-Scale Distributed Data Processing
IBM DataStage Integration
AWS Infrastructure
Production Support and Troubleshooting
Performance Tuning and Optimization
Release and Deployment Management
Technical Documentation
Business Rules Implementation
Medicaid Encounter Processing Experience
Agile Delivery
Schedule
Start date: 2026-10-19