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
Mandatory

Skills
Scala Development
Apache Spark
Cloudera Data Platform
Apache Hive
Drools Rules Engine
SQL Development
Linux Production Environments
Git Version Control
Distributed Data Processing Applications
IBM DataStage Integration
AWS Infrastructure
Production Support and Reliability Engineering
Business Rules Implementation
Performance Tuning and Optimization
Release and Deployment Management
Technical Documentation
Production Troubleshooting
Medicaid Encounter Processing Experience
Agile Delivery

Schedule
Start date: 2026-10-19