Senior Data Engineer – Encounter Processing, Data Platform

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🌾 Nebraska – Remote

🌾 Nebraska – Remote

⏳ Contract/Temporary

🟠 Senior

🏗️ Platform Engineer

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NOVALINK SOLUTIONS LLC

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2003

🏥 Healthcare

💼 Consulting

🛡️ Insurance

Healthcare • Consulting • Insurance

NOVALINK SOLUTIONS LLC is a leading provider of IT consulting and managed engineering services, specializing in staff augmentation and contingent workforce solutions for high-profile clients across various sectors. Founded in 2003, the company serves a diverse range of markets including telecommunications, government, healthcare, energy, and finance. With a strong commitment to quality and operational efficiency, NOVALINK has built a reputation for excellence, achieving exceptional ratings and maintaining a low turnover rate in the industry.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options