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Senior Data Engineer - Encounter Processing & Data Platform
- Location: Lincoln, Nebraska 68508
- Work model: On-site
- Posted 2 weeks ago
- Job ID: JPC - 210564
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Job Description
Senior Data Engineer - Encounter Processing & Data Platform
Location: Lincoln, NE, 68508 (Remote/Onsite flexibility)
Job Type: Contract
[About the Role]
Join a mission-critical team as the Senior Data Engineer, serving as the primary technical owner for a robust enterprise data processing platform supporting Medicaid Encounter Processing and enterprise data ingestion. You will play a pivotal role in driving operational reliability and innovation for a platform that underpins core healthcare data needs. This is a unique opportunity to take full ownership of a production-grade Scala/Spark framework running on Cloudera Data Platform, directly impacting Medicaid operations and reporting.
[Responsibilities]
- Lead all technical aspects of the Medicaid Encounter Processing data platform, providing ongoing maintenance, enhancements, and operational support
- Develop, optimize, and maintain distributed data processing applications using Scala, Apache Spark, and Apache Hive
- Manage and update business rules with Drools Rules Engine to ensure regulatory compliance and business agility
- Oversee enterprise data ingestion pipelines, including master data and source system integration
- Investigate, troubleshoot, and resolve production issues and application defects swiftly to ensure uninterrupted operations
- Coordinate production releases, manage version control, and handle deployment processes
- Own application performance tuning, scalability initiatives, and proactive system optimizations
- Maintain up-to-date technical documentation and ensure effective operational knowledge transfer
- Perform basic administration and monitoring of Cloudera Data Platform, collaborating closely with infrastructure/cloud operations teams
[Required Skills and Experience]
- Minimum 7 years developing enterprise-scale distributed data processing systems
- Advanced proficiency with Scala development
- Extensive experience with Apache Spark (2.x or 3.x) for large-scale data processing
- Hands-on experience on Cloudera Data Platform (CDP 7.x) or similar Hadoop distributions
- Proficiency with Apache Hive (3.x) for data management and processing
- Strong skills in implementing and maintaining business rules using Drools Rules Engine
- Expertise in SQL development and query optimization
- Experience supporting and troubleshooting Linux-based production environments
- Solid background in troubleshooting distributed Spark applications
- Proficient with Git and modern version control workflows
[Preferred Skills]
- Medicaid or healthcare data engineering experience
- Direct experience with Medicaid Encounter Processing
- Familiarity with Cloudera Manager, HDFS, and YARN
- Experience integrating with IBM DataStage
- Exposure to AWS infrastructure supporting Cloudera
- Knowledge of Agile methodologies, Jira, and Confluence
[Benefits]
- Opportunity to serve as the principal technical owner of a business-critical data platform
- Work on high-impact healthcare data solutions with direct influence on Medicaid systems
- Collaborative, growth-focused environment with cross-functional exposure
- Flexible work arrangements (remote/onsite)
- Professional development and upskilling opportunities
[How to Apply]
Ready to lead innovation in healthcare data engineering? Submit your resume detailing your relevant Scala, Spark, Hive, and Cloudera Data Platform experience. Qualified candidates will be contacted for next steps.
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Job details
Job ID JPC - 210564
Location Lincoln, Nebraska, United States
Work Model On-site
Job Type Contract
Posted September 29, 2026
Skills Scala Apache Spark 2x and/or Spark 3x Cloudera Data Platform (CDP) 7x or equivalent enterprise Hadoop distributions Apache Hive 3x Drools Rules Engine SQL Development
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