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Remote Scala Jobs in Nebraska (NOW HIRING)

Remote-Senior Data Engineer

Lincoln, NE ยท Remote

$92K - $125K/yr

Remote / Lincoln, Nebraska Job Summary The Senior Data Engineer will serve as the primary technical ... The application framework is developed using Scala, Apache Spark, Hive, and Drools and operates on ...

Sr. Database Administrator

Omaha, NE ยท On-site +1

$120K - $145K/yr

San Diego, CA Irvine, CA Los Angeles, CA Centennial, CO Las Vegas, NV Remote or Hybrid is not ... Work with large-scale data processing using Spark (PySpark/Scala) * Support ETL/ELT workflows and ...

Remote Scala information

See Nebraska salary details

$17

$56

$74

How much do remote scala jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for remote scala in Nebraska is $56.25, according to ZipRecruiter salary data. Most workers in this role earn between $48.61 and $63.03 per hour, depending on experience, location, and employer.

What is a remote Scala job?

Remote Scala jobs are positions that allow professionals to work from any location while using the Scala programming language. Scala is a powerful, high-level language that combines object-oriented and functional programming, and is often used in data engineering, backend development, and big data applications. Remote Scala roles can include job titles like Scala Developer, Backend Engineer, or Data Engineer, and typically involve building scalable applications, working with distributed systems, or processing large datasets. These jobs require strong programming skills, familiarity with JVM (Java Virtual Machine) environments, and experience with related tools and frameworks. Working remotely offers flexibility and the ability to collaborate with global teams.

What are the key skills and qualifications needed to thrive as a remote Scala developer?

To thrive as a Remote Scala Developer, you need strong proficiency in Scala programming, functional programming principles, and experience with JVM-based systems, typically supported by a degree in computer science or related field. Familiarity with tools like sbt, Akka, Play Framework, Git, and cloud platforms such as AWS or Azure is common, and certifications in cloud or Scala development can be advantageous. Outstanding communication skills, self-motivation, and problem-solving ability are essential soft skills in a remote environment. These skills ensure high-quality, efficient code delivery and effective collaboration across distributed teams.

What is the difference between Remote Scala vs Remote Java Developer?

AspectRemote ScalaRemote Java Developer
Required CredentialsBachelor's in CS, Scala certifications (optional)Bachelor's in CS, Java certifications (optional)
Work EnvironmentRemote, collaborative teams, tech companiesRemote, enterprise and tech firms, similar setup
Industry UsageFintech, data engineering, backend developmentEnterprise software, web applications, backend systems
Search & Comparison IntentOften compared for functional programming skillsCommonly compared due to similar backend roles

Remote Scala and Remote Java Developer roles share many similarities, including work environment and industry usage. While Scala emphasizes functional programming and data processing, Java remains a versatile, widely-used language for enterprise applications. Candidates often compare these roles to determine the best fit based on skills and project requirements.

How do remote Scala developers typically collaborate with distributed teams on large-scale projects?

Remote Scala developers often work with cross-functional teams that may include front-end engineers, DevOps specialists, and product managers. Collaboration is facilitated through tools like Git, Jira, and Slack, while code reviews and regular stand-up meetings ensure alignment and maintain code quality. Since Scala is frequently used in backend and data-intensive applications, clear communication and well-documented code are especially important. Adapting to asynchronous workflows and proactively seeking feedback are common strategies for overcoming remote collaboration challenges.

What is a remote Scala job?

Scala is a high-level, general-purpose computer programming language used to develop various types of software. It has been used to develop many popular web-based platforms and has been gaining popularity for the last few years, so opportunities are on the rise. Jobs that use Scala include software engineers, solutions architects, and quality assurance testers. Some roles are remote, while others are on-site, and as a Scala expert, you can work on anything from online shopping sites to platforms that distribute live traffic video. You can also find a wide variety of freelance, temporary, and contract positions on job boards.

What are popular job titles related to Remote Scala jobs in Nebraska? For Remote Scala jobs in Nebraska, the most frequently searched job titles are:
Infographic showing various Remote Scala job openings in Nebraska as of August 2026, with employment types broken down into 65% Full Time, 13% Part Time, and 22% Contract. Highlights an 100% Remote job distribution, with an average salary of $116,994 per year, or $56.2 per hour.

Remote-Senior Data Engineer

INFT Solutions Inc

Lincoln, NE โ€ข Remote

$92K - $125K/yr

Contractor

Posted 11 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