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Data Engineer Jobs in Lincoln, NE (NOW HIRING)

INFT Solutions inc

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 The Senior Data Engineer will serve as the primary technical owner responsible for the ongoing ...

Nelnet, Inc.

Managing Director, Data & AI

Lincoln, NE · On-site

$230K - $250K/yr

Value Chain Unification - Unify data engineering, governance, and AI/automation into a single operating model, with shared intake, prioritization, and delivery cadence; resolve funding and capacity ...

1872 Consulting

Data Science Manager

Lincoln, NE · On-site

Responsibilities : • Provides leadership in advanced engineering, data science and analytics in the development of current or future products, technologies or services. • Lead a team of data ...

Data Security, Inc.

Mechanical Engineer

Lincoln, NE · On-site

$73K - $88K/yr

Since 1985, Data Security, Inc. ® has been the world leader of National Security Agency (NSA ... The Mechanical Engineer position is responsible for the design of mechanical and electromechanical ...

Data Security, Inc.

Electrical Engineer

Lincoln, NE · On-site

$80K - $95K/yr

Since 1985, Data Security, Inc. ® has been the world leader of National Security Agency (NSA ... This Electrical Engineer position is responsible for the design of electronic, electrical ...

Olsson

Licensed Traffic Engineer - Data Center

Lincoln, NE · On-site

$71K - $95K/yr

Are you an experienced traffic engineer looking to play a key role in shaping some of the nation's fastest-growing data center developments? As a Licensed Professional Engineer on Olsson's Traffic ...

Olsson

Licensed Traffic Engineer - Data Center

Lincoln, NE · On-site

$71K - $95K/yr

Are you an experienced traffic engineer looking to play a key role in shaping some of the nation's fastest-growing data center developments? As a Licensed Professional Engineer on Olsson's Traffic ...

ALLO Fiber

Senior Data Analyst

Lincoln, NE · On-site

$74K - $94K/yr

... engineers, data scientists, and other data analysts. A key part of this role is not only delivering insights but also proactively identifying and implementing process improvements to enhance ...

ALLO Fiber

Senior Data Analyst

Waverly, NE · On-site

$84K - $106K/yr

... engineers, data scientists, and other data analysts. A key part of this role is not only delivering insights but also proactively identifying and implementing process improvements to enhance ...

ALLO Fiber

Senior Data Analyst

Seward, NE · On-site

$79K - $100K/yr

... engineers, data scientists, and other data analysts. A key part of this role is not only delivering insights but also proactively identifying and implementing process improvements to enhance ...

ALLO Fiber

Senior Data Analyst

Lincoln, NE · On-site

$74K - $94K/yr

... engineers, data scientists, and other data analysts. A key part of this role is not only delivering insights but also proactively identifying and implementing process improvements to enhance ...

Sandhills Global, Inc.

Data Scientist

Lincoln, NE · On-site

... Developers to implement into our products and services. The Data Scientist would need to be able to apply the data analysis, models, and software to the markets our products are in for us to better ...

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All JobsData Engineer JobsData Engineer Jobs in Lincoln, NE

Data Engineer information

See Lincoln, NE salary details

$39K

$113.7K

$155.5K

How much do data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data engineer in Lincoln, NE is $113,651.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,300.00 and $120,500.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
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Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Lincoln, NE as of August 2026, with employment types broken down into 13% Internship, and 87% Full Time. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $113,651 per year, or $54.6 per hour.

Remote-Senior Data Engineer

INFT Solutions inc

Lincoln, NE • On-site

$48.50 - $64.25/hr

Other

This job post has expired today. Applications are no longer accepted.

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


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