CCS IT
Medicaid Data Engineer - Encounter Processing - REMOTE
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Medicaid Data Engineer specializing in Encounter Processing, offering a remote contract for an unspecified length. Pay rate is competitive. Key skills include advanced Cloudera Data, distributed data processing, Drools, Scala, and Apache technologies.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 31, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Lincoln, NE
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🧠 - Skills detailed
#SQL (Structured Query Language) #Apache Hive #Spark (Apache Spark) #Data Engineering #Hadoop #Apache Spark #Cloud #Data Processing #Linux #Cloudera #Scala
Role description
Required Skills:
Cloudera Data: Advanced (7-9 Years)
Distributed Data Processing: Minimum 7 years of experience developing enterprise-scale distributed data processing applications.
Drools: Proficient (4-6 Years): Experience implementing business rules using the Drools Rules Engine
Scala Proficient (4-6 Years): Strong hands-on development experience with Scala.
Apache experience Proficient (4-6 Years): 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.
SQL and Linux: Strong SQL development and query optimization skills
• Experience supporting Linux-based production environments
Cloudera: Experience developing and maintaining applications running on Cloudera Data Platform (CDP) 7.x or equivalent enterprise Hadoop distributions
Required Skills:
Cloudera Data: Advanced (7-9 Years)
Distributed Data Processing: Minimum 7 years of experience developing enterprise-scale distributed data processing applications.
Drools: Proficient (4-6 Years): Experience implementing business rules using the Drools Rules Engine
Scala Proficient (4-6 Years): Strong hands-on development experience with Scala.
Apache experience Proficient (4-6 Years): 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.
SQL and Linux: Strong SQL development and query optimization skills
• Experience supporting Linux-based production environments
Cloudera: Experience developing and maintaining applications running on Cloudera Data Platform (CDP) 7.x or equivalent enterprise Hadoop distributions
