Overview
Full Time
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent
Skills
VPC
NETWORKING
DEVOPS
HADOOP
SPARK
AWS
APACHE SPARK
JAVA
HDFS
HIVEQL
PYTHON
SCALA
Job Details
Job Title: Cloudera Data Engineer - 65050
Duration: 12+ Months
Location: Lincoln, Nebraska
Cloudera Data Engineer (Cloud DevOps Administrator Expert)
Job Summary
We are seeking a Cloudera Data Engineer to support the migration of a
Medicaid Data Warehouse Implementation in AWS environment. The resource will
support the migration and continued operations of an existing
Cloudera/Hive/Scala-based data pipeline environment from one AWS account to
another.
This position is responsible for ensuring a seamless transition, validating
data integrity and job performance, and maintaining reliable daily
operations post-migration.
The role will work closely with the existing project team for the
underlying AWS infrastructure (VPC, IAM, S3, EC2, networking). The resource
will focus on Cloudera cluster migration, data pipeline reconfiguration, and
operational stability.
Key Responsibilities
* Replicate and configure existing Cloudera cluster (HDFS, YARN, Hive,
Spark) in the new AWS account.
* Coordinate with project team to ensure proper infrastructure
provisioning (EC2, security groups, IAM roles, and networking).
* Reconfigure cluster connectivity and job dependencies for the new
environment.
* Migrate and validate metadata stores (Hive Metastore, job configs,
dependencies).
* Validate job execution and data outputs for parity with existing
environment.
* Deploy, test, and operate existing Hive, Spark (Scala) jobs
post-migration.
* Maintain job schedules, dependencies, and runtime configurations.
* Monitor job performance, identify bottlenecks, and apply tuning or
code-level optimizations.
* Troubleshoot failures and implement automated recovery or alerting
where applicable.
* Monitor Cloudera Manager dashboards, cluster health, and resource
utilization.
* Manage user roles and access within Cloudera environment.
* Implement periodic data cleanup, archiving, and housekeeping
processes.
* Document configurations, migration steps, and operational runbooks.
Required Skills and Experience:
Bachelor s degree in computer science, Information Systems, or a
related field.
7+ years of experience in data engineering or big data
development
4+ years experience with Cloudera platform (HDFS, YARN, Hive,
Spark, Oozie)
Experience deploying and operating Cloudera workloads on AWS
(EC2, S3, IAM, CloudWatch)
Strong proficiency in Scala, Java and HiveQL; Python or Bash
scripting experience preferred
Strong proficiency in Apache Spark & Scala programming for data
processing and transformation.
Hands on experience with Cloudera distribution of Hadoop.
Hands-on experience implementing business-rules processing using
Drools.
Able to work with infrastructure, DevOps, and data governance
teams in a multi-disciplinary environment.
Preferred Qualifications:
Candidates with Cloudera certification (e.g., CDP Data Engineer
or Cloudera Administrator)
Experience with Cloudera version upgrades or AWS-to-AWS
environment migrations.
Experience in public-sector or large enterprise data
environments.
Duration: 12+ Months
Location: Lincoln, Nebraska
Cloudera Data Engineer (Cloud DevOps Administrator Expert)
Job Summary
We are seeking a Cloudera Data Engineer to support the migration of a
Medicaid Data Warehouse Implementation in AWS environment. The resource will
support the migration and continued operations of an existing
Cloudera/Hive/Scala-based data pipeline environment from one AWS account to
another.
This position is responsible for ensuring a seamless transition, validating
data integrity and job performance, and maintaining reliable daily
operations post-migration.
The role will work closely with the existing project team for the
underlying AWS infrastructure (VPC, IAM, S3, EC2, networking). The resource
will focus on Cloudera cluster migration, data pipeline reconfiguration, and
operational stability.
Key Responsibilities
* Replicate and configure existing Cloudera cluster (HDFS, YARN, Hive,
Spark) in the new AWS account.
* Coordinate with project team to ensure proper infrastructure
provisioning (EC2, security groups, IAM roles, and networking).
* Reconfigure cluster connectivity and job dependencies for the new
environment.
* Migrate and validate metadata stores (Hive Metastore, job configs,
dependencies).
* Validate job execution and data outputs for parity with existing
environment.
* Deploy, test, and operate existing Hive, Spark (Scala) jobs
post-migration.
* Maintain job schedules, dependencies, and runtime configurations.
* Monitor job performance, identify bottlenecks, and apply tuning or
code-level optimizations.
* Troubleshoot failures and implement automated recovery or alerting
where applicable.
* Monitor Cloudera Manager dashboards, cluster health, and resource
utilization.
* Manage user roles and access within Cloudera environment.
* Implement periodic data cleanup, archiving, and housekeeping
processes.
* Document configurations, migration steps, and operational runbooks.
Required Skills and Experience:
Bachelor s degree in computer science, Information Systems, or a
related field.
7+ years of experience in data engineering or big data
development
4+ years experience with Cloudera platform (HDFS, YARN, Hive,
Spark, Oozie)
Experience deploying and operating Cloudera workloads on AWS
(EC2, S3, IAM, CloudWatch)
Strong proficiency in Scala, Java and HiveQL; Python or Bash
scripting experience preferred
Strong proficiency in Apache Spark & Scala programming for data
processing and transformation.
Hands on experience with Cloudera distribution of Hadoop.
Hands-on experience implementing business-rules processing using
Drools.
Able to work with infrastructure, DevOps, and data governance
teams in a multi-disciplinary environment.
Preferred Qualifications:
Candidates with Cloudera certification (e.g., CDP Data Engineer
or Cloudera Administrator)
Experience with Cloudera version upgrades or AWS-to-AWS
environment migrations.
Experience in public-sector or large enterprise data
environments.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.