
RedSalsa Technologies, Inc.
Remote or Hybrid in Lincoln, Nebraska • Today
Easy Apply
Contract
Depends on Experience
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RedSalsa Technologies, Inc.
Remote or Hybrid in Lincoln, Nebraska • Today
Easy Apply
Contract
Depends on Experience

REMOTE- LOCALS DESIRED
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Title : Application Data Developer Expert- 66370
Location : Lincoln, NE
Duration : 12 + Months
Job Type : C
Description :
Senior Data Engineer – Encounter Processing & Data Platform
Job Summary
The Senior Data Engineer will serve as the primary technical owner responsible for the ongoing maintenance, enhancement, operational support, and reliability of Nebraska's enterprise data processing framework supporting Medicaid Encounter Processing and enterprise data ingestion.
This mission-critical platform processes provider, member, reference, and encounter data used by downstream Medicaid systems and reporting. The application framework is developed using Scala, Apache Spark, Hive, and Drools and operates on the Cloudera Data Platform (CDP).
Following the State's migration from an Apache open-source Hadoop environment to Cloudera Data Platform, this position will assume primary responsibility for maintaining the production code base, implementing business and regulatory changes, supporting production operations, resolving application defects, and performing routine operational administration of the data processing environment.
This position serves as the single primary technical owner of the application framework and is expected to maintain sufficient expertise across the complete technology stack—including Scala, Apache Spark, Hive, Drools, and the Cloudera Data Platform—to ensure the ongoing reliability, maintainability, and operational continuity of this mission-critical system.
Primary Ownership
Skills :
Required Qualifications
Preferred Qualifications
Skills | Years of Exp | Last Used |
• Minimum 7 years of experience developing enterprise-scale distributed data processing applications. |
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Experience implementing business rules using the Drools Rules Engine |
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• Strong hands-on development experience with Scala. |
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• Strong SQL development and query optimization skills • Experience supporting Linux-based production environments |
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•Experience developing applications using Apache Spark 2.x and/or Spark 3.x. •Experience with Apache Hive 3.x for data processing and Hive table management. |
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• Experience developing and maintaining applications running on Cloudera Data Platform (CDP) 7.x or equivalent enterprise Hadoop distributions |
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If interested, please send a reply with your updated resume and the following details:
Full Name:
Phone Number:
Email ID:
Current Location:
Work Authorization:
Expected Rate/hr :
Availability:
Relocation:
Last 4 digits of SSN:
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Title : Application Data Developer Expert-66370 Location : Lincoln, NE Duration : 9 + Months Job Type : C Description : The Senior Data Engineer will serve as the primary technical owner responsible for the ongoing maintenance, enhancement, operational support, and reliability of Nebraska's enterprise data processing framework supporting Medicaid Encounter Processing and enterprise data ingestion. This mission-critical platform processes provider, member, reference, and encounter data used by d
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Title : Data Developer Expert Location : Lincoln, NE - Remote Duration : 9 + Months Job Type : C Description : The Senior Data Engineer will serve as the primary technical owner responsible for the ongoing maintenance, enhancement, operational support, and reliability of Nebraska's enterprise data processing framework supporting Medicaid Encounter Processing and enterprise data ingestion. This mission-critical platform processes provider, member, reference, and encounter data used by downstrea
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The Senior Data Engineer will serve as the primary technical owner responsible for the ongoing maintenance, enhancement, operational support, and reliability of Nebraska's enterprise data processing framework supporting Medicaid Encounter Processing and enterprise data ingestion. This mission-critical platform processes provider, member, reference, and encounter data used by downstream Medicaid systems and reporting. The application framework is developed using Scala, Apache Spark, Hive, and Dr
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