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Data Engineer Cdp Jobs in Nebraska (NOW HIRING)

Remote-Senior Data Engineer

Lincoln, NE · On-site

$48.50 - $64.25/hr

Senior Data Engineer - 66129 Duration: 12+ Months Location: Remote / Lincoln, Nebraska Job Summary ... Experience developing and maintaining applications running on Cloudera Data Platform (CDP) 7.x or ...

Sr. Network Engineer

Omaha, NE · On-site

$55 - $60/hr

Experience with Multi-Tenant & Multi-Data-Center deployments * Experience in designing/deploying ... Layer1 & 2 Protocols (LLDP, CDP, Spanning-Tree) * DataCenter Fabric deployment types (Classic ...

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.

Data Engineer Cdp information

What is a data engineer CDP?

Data Engineer CDPs (Customer Data Platforms) are professionals who specialize in designing, building, and maintaining data infrastructure for customer data platforms. They are responsible for collecting, processing, and integrating large volumes of customer data from multiple sources to ensure that the data is accurate, clean, and accessible for marketing, analytics, and business intelligence. Their work enables organizations to create unified customer profiles and deliver personalized experiences across channels. Data Engineer CDPs often work closely with data scientists, analysts, and marketers to support data-driven strategies and compliance with privacy regulations.

How do data engineer CDPs typically collaborate with marketing and analytics teams?

Data Engineers in CDP environments frequently collaborate with marketing and analytics teams to ensure data pipelines are optimized for campaign personalization and customer insights. They translate business requirements into technical solutions, enabling real-time data integration and accessibility for non-technical users. Regular communication is essential to align on data quality, privacy compliance, and the evolving needs of user segmentation, making teamwork and clear documentation key to success in this role.

What are the key skills and qualifications needed to thrive as a data engineer CDP, and why are they important?

To thrive as a Data Engineer CDP, you need strong expertise in data modeling, ETL processes, and database management, often backed by a degree in computer science or a related field. Familiarity with cloud data platforms (such as AWS, Azure, or GCP), experience in programming languages like Python or Scala, and certifications in specific CDP tools (like Cloudera or Snowflake) are typically required. Analytical thinking, problem-solving, and effective communication are critical soft skills for collaborating with cross-functional teams and translating business needs into technical solutions. These skills ensure robust, scalable data architectures and enable efficient data-driven decision-making across the organization.

What are popular job titles related to Data Engineer Cdp jobs in Nebraska?

For Data Engineer Cdp jobs in Nebraska, the most frequently searched job titles are:

What cities in Nebraska are hiring for Data Engineer Cdp jobs?

Cities in Nebraska with the most Data Engineer Cdp job openings:

Infographic showing various Data Engineer Cdp job openings in Nebraska as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Remote-Senior Data Engineer

INFT Solutions inc

Lincoln, NE • On-site

$48.50 - $64.25/hr

Other

Posted 16 days ago


Job description

Job Title: Senior Data Engineer - 66129

Duration: 12+ Months

Location: Remote / Lincoln, Nebraska


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

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.

Required Qualifications

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.

Preferred Qualifications

Medicaid or healthcare experience.

Experience with Medicaid Encounter Processing.

Experience with Cloudera Manager, HDFS, and YARN.

Experience integrating with IBM DataStage.

Familiarity with AWS infrastructure supporting Cloudera.

Experience with Agile, Jira, and Confluence.


Skills

Architecture

Cloudera Data

Advanced (7-9 Years)

Yes

Skills

Others

Distributed Data Processing

Minimum 7 years of experience developing enterprise-scale distributed data processing applications.

Advanced (7-9 Years)

Yes

Skills

Others

Drools

Experience implementing business rules using the Drools Rules Engine

Proficient (4-6 Years)

Yes

Skills

Others

Scala

Strong hands-on development experience with Scala.

Proficient (4-6 Years)

Yes

Skills

Others

SQL and Linux

Strong SQL development and query optimization skills Experience supporting Linux-based production environments

Yes

Skills

Others

Apache experience

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.

Proficient (4-6 Years)

Yes

Skills

Others

Cloudera

Experience developing and maintaining applications running on Cloudera Data Platform (CDP) 7.x or equivalent enterprise Hadoop distributions

No