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Remote Cloud Data Engineer Jobs in Nebraska (NOW HIRING)

Remote-Senior Data Engineer

Lincoln, NE · Remote

$92K - $125K/yr

Senior Data Engineer - 66129 Duration: 12+ Months Location: Remote / Lincoln, Nebraska Job Summary ... cloud operations teams. Required Qualifications · Minimum 7 years of experience developing ...

Sr Cloud Engineer

Papillion, NE · On-site +1

$52.50 - $70.25/hr

We give our people real-time data to make faster, smarter decisions. Location This role is located ... This is not a hybrid or remote role and this role requires full time, in office attendance (M-F)

United States (Remote) Interested applicants must reside in one of the following approved states ... Collaborate with data engineering teams to translate architecture designs into scalable physical ...

United States (Remote) Interested applicants must reside in one of the following approved states ... You'll collaborate with engineering, analytics, governance, and business teams to drive adoption ...

AI Engineer - Remote Apply now Job no: 504788 Work type: Full Time Regular Location: Nebraska ... cloud capabilities, and emerging best practices. * Collaboration & Integration: Integrate data ...

Data Scientist - AI Systems

Omaha, NE · On-site +1

$110K - $130K/yr

Remote Categories: Information Technology Data Scientist - AI Systems This role focuses on ... cloud engineers, data engineers, and UI/UX developers as needed to deliver cohesive end-to-end ...

Data and Analytics - AI Engineer II

Omaha, NE · On-site +1

$107K - $150K/yr

AI Engineer II Division: Business Technology Department: Data & Analytics Location: Home Office ... Cloud Platforms: Azure * Tools: Power Automate, AI Foundry, Power Platform * Data Platforms:

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Remote Cloud Data Engineer information

How does a remote cloud data engineer typically collaborate with cross-functional teams?

As a Remote Cloud Data Engineer, you will frequently collaborate with data scientists, software engineers, and business analysts to design, build, and optimize cloud-based data solutions. Communication is often facilitated through virtual meetings, collaborative project management tools, and shared documentation platforms. Success in this role depends on your ability to articulate technical concepts clearly to non-technical stakeholders and align your work with broader business objectives. Being proactive in updates and seeking feedback helps ensure smooth coordination and project progress.

What are the key skills and qualifications needed to thrive as a remote cloud data engineer?

To thrive as a Remote Cloud Data Engineer, you need expertise in data engineering, cloud platforms (like AWS, Azure, or Google Cloud), and proficiency in programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with tools like Apache Spark, ETL pipelines, cloud storage solutions, and relevant certifications (e.g., AWS Certified Data Analytics) is highly valued. Strong problem-solving abilities, attention to detail, and effective remote communication skills help you excel in collaborative and distributed work environments. These skills ensure you can design, build, and maintain scalable data solutions that meet business needs efficiently and securely.

What is a remote cloud data engineer?

A Remote Cloud Data Engineer is a technology professional who designs, builds, and maintains data infrastructure and pipelines in cloud environments, such as AWS, Azure, or Google Cloud, while working from a remote location. They are responsible for ensuring data is efficiently collected, stored, and made accessible for analysis and applications. Their role often involves using tools like SQL, Python, and cloud-based services to manage big data workflows. By working remotely, they collaborate with distributed teams using digital communication and project management tools.
What are popular job titles related to Remote Cloud Data Engineer jobs in Nebraska? For Remote Cloud Data Engineer jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Remote Cloud Data Engineer jobs in Nebraska look for? The top searched job categories for Remote Cloud Data Engineer jobs in Nebraska are:
Infographic showing various Remote Cloud Data Engineer job openings in Nebraska as of July 2026, with employment types broken down into 86% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution.

Remote-Senior Data Engineer

INFT Solutions Inc

Lincoln, NE • Remote

$92K - $125K/yr

Contractor

Posted 5 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.

Qualifications

 

Type

 

Category

 

Qualification

 

Description

 

Competency

 

Required

   

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