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Remote Data Engineer Jobs in Lincoln, NE (NOW HIRING)

INFT Solutions Inc

Remote-Senior Data Engineer

Lincoln, NE · Remote

$92K - $125K/yr

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 ...

Bryan Health

BH Arrhythmia Technician

Lincoln, NE · Remote

Responsible for the programming of arrhythmic devices in a safe and effective manner. Troubleshoots and determines device solutions, conducts in-clinic and remote monitoring. Performs data management ...

Bryan Health

BH Arrhythmia Technician

Lincoln, NE · Remote

Responsible for the programming of arrhythmic devices in a safe and effective manner. Troubleshoots and determines device solutions, conducts in-clinic and remote monitoring. Performs data management ...

TELCOR Inc

Forward Deployed Engineer

Lincoln, NE · On-site +1

$125K - $165K/yr

... remote. Copy and paste the following link into your browser to learn more about TELCOR and what it ... Worked with LIS/LIMS systems, claims processing, or healthcare data standards (HL7, FHIR) preferred ...

penlink

AI Engineer

Lincoln, NE · On-site +1

It sounds like a lot of data and analytics, but really, it's about improving the world and keeping ... You'll partner closely with product, design, and engineering to turn business needs into reliable ...

NELNET BUSINESS SOLUTIONS

AI / ML Engineer

Lincoln, NE · Remote

At Nelnet, we believe in the transformative power of data and technology to drive business ... Nelnet believes in a hybrid work environment that accommodates both in-office and remote work. This ...

New

Cisco

Senior Software Engineer, Backend

Lincoln, NE · On-site +1

$165K - $241K/yr

With this data, we help to power Dashboard and allow ourcustomersinsight into the state of their ... Programming experience in Rust, Scala, Python. * Experience with observability tooling such ...

Olsson

Engineer - PERM

Lincoln, NE · On-site +1

Olsson, Inc. seeks Engineer in Lincoln, NE responsible for evaluating, designing, and constructing plans for small to large-sized building and infrastructure projects. Will perform standard ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Lincoln, NE

Remote Data Engineer information

See Lincoln, NE salary details

$38.7K

$112.9K

$154.5K

How much do remote data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote data engineer in Lincoln, NE is $112,933.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,700.00 and $119,700.00 per year, depending on experience, location, and employer.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.
More about Remote Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Lincoln, NE? The most popular types of Data Engineer jobs in Lincoln, NE are:
What job categories do people searching Remote Data Engineer jobs in Lincoln, NE look for? The top searched job categories for Remote Data Engineer jobs in Lincoln, NE are:
What cities near Lincoln, NE are hiring for Remote Data Engineer jobs? Cities near Lincoln, NE with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Lincoln, NE as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $112,933 per year, or $54.3 per hour.

Remote-Senior Data Engineer

INFT Solutions Inc

Lincoln, NE • Remote

$92K - $125K/yr

Contractor

Posted 8 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