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Data Analytics Engineer Jobs in Nebraska (NOW HIRING)

Data Analyst

Omaha, NE ยท On-site

... Analytics, Engineering, Mission Support, and Communications disciplines. Founded in 2008, our ... Barbaricum is seeking a mission-driven Junior Data Analyst to support data-centric projects for a ...

Senior Data Analyst

Sidney, NE ยท On-site

$72K - $92K/yr

Through time this role will continue to connect and network data analytics to the enterprise ... Experience programming and aggregating data in Microsoft PowerBI utilizing DAX programming language ...

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Senior Data Analyst

Sidney, NE ยท On-site

$72K - $92K/yr

Through time this role will continue to connect and network data analytics to the enterprise ... programming language desired Responsibilities: * Lead modeling and development to support ...

Data Engineer

Omaha, NE ยท On-site

$109K - $131K/yr

Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM ... Prepare data for predictive and prescriptive modeling deploying analytics programs, machine ...

Data Engineer

Omaha, NE ยท On-site

$109K - $131K/yr

Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM ... Prepare data for predictive and prescriptive modeling deploying analytics programs, machine ...

Data Engineer

Omaha, NE ยท On-site

$109K - $131K/yr

Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM ... Prepare data for predictive and prescriptive modeling deploying analytics programs, machine ...

Data Engineer

Offutt Air Force Base, NE ยท On-site

$77K - $176K/yr

Data Engineer Offutt AFB, NE Secret Polygraph Unspecified Career Level not specified $77,500 - $176 ... You'll use your experience in analytical exploration and data examination while you manage the ...

Data Analyst

Omaha, NE ยท On-site

Collaborate with developers, engineers, and mission stakeholders to recommend system improvements and develop policies for data governance. * Document the data analysis process in a way that enables ...

Data Engineer

Omaha, NE ยท On-site

$109K - $131K/yr

Cordova is seeking a versatile Senior Data Engineer & Application Developer on behalf of our client ... Analytical Background: A background in mathematical and statistical analysis is highly preferred to ...

This role requires deep expertise in data analytics, artificial intelligence/machine learning (AI/ML), predictive modeling, and data engineering , along with the ability to translate complex data ...

This role requires deep expertise in data analytics, artificial intelligence/machine learning (AI/ML), predictive modeling, and data engineering , along with the ability to translate complex data ...

Data Engineer/Maven SME

Omaha, NE ยท On-site

$109K - $131K/yr

... Analytics, Engineering, Mission Support, and Communications disciplines. Founded in 2008, our ... Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM ...

Data Engineer/Maven SME

Omaha, NE ยท On-site

$109K - $131K/yr

... Analytics, Engineering, Mission Support, and Communications disciplines. Founded in 2008, our ... Barbaricum is seeking a Data Engineer to provide support an emerging capability for the USSTRATCOM ...

Data Analyst

NE ยท On-site

Bachelor's degree or higher in Data Science, Computer Science, Statistics, Mathematics, Engineering ... Demonstrated experience leading analytical or technical projects and coordinating cross-functional ...

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Showing results 1-20

Data Analytics Engineer information

See Nebraska salary details

$42.4K

$123.7K

$169.2K

How much do data analytics engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data analytics engineer in Nebraska is $123,678.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $131,100.00 per year, depending on experience, location, and employer.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

What are the key skills and qualifications needed to thrive as a Data Analytics Engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a Data Analytics Engineer do?

A Data Analytics Engineer designs, builds, and maintains the systems and infrastructure needed to collect, store, and analyze large sets of data. They work closely with data scientists, analysts, and business stakeholders to ensure data is accessible, reliable, and organized for analysis. Their responsibilities typically include building data pipelines, optimizing database performance, and ensuring data quality and security. Data Analytics Engineers play a crucial role in transforming raw data into actionable insights that drive business decisions.
What are the most commonly searched types of Data Analytics Engineer jobs in Nebraska? The most popular types of Data Analytics Engineer jobs in Nebraska are:
What are popular job titles related to Data Analytics Engineer jobs in Nebraska? For Data Analytics Engineer jobs in Nebraska, the most frequently searched job titles are:
Infographic showing various Data Analytics Engineer job openings in Nebraska as of June 2026, with employment types broken down into 80% Full Time, and 20% Temporary. Highlights an 100% In-person job distribution, with an average salary of $123,678 per year, or $59.5 per hour.
Data Analyst

Data Analyst

Barbaricum

Omaha, NE โ€ข On-site

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Barbaricum is a rapidly growing government contractor providing leading-edge support to federal customers, with a particular focus on Defense and National Security mission sets. We leverage more than 17 years of support to stakeholders across the federal government, with established and growing capabilities across Intelligence, Analytics, Engineering, Mission Support, and Communications disciplines. Founded in 2008, our mission is to transform the way our customers approach constantly changing and complex problem sets by bringing to bear the latest in technology and the highest caliber of talent.

Headquartered in Washington, DC's historic Dupont Circle neighborhood, Barbaricum also has a corporate presence in Tampa, FL, Bedford, IN, and Dayton, OH, with team members across the United States and around the world. As a leader in our space, we partner with firms in the private sector, academic institutions, and industry associations with a goal of continually building our expertise and capabilities for the benefit of our employees and the customers we support. Through all of this, we have built a vibrant corporate culture diverse in expertise and perspectives with a focus on collaboration and innovation. Our teams are at the frontier of the Nation's most complex and rewarding challenges. Join our team.

Barbaricum is seeking a mission-driven Junior Data Analyst to support data-centric projects for a high-visibility government customer. This role is ideal for early-career analysts who are eager to apply data science principles to national security challenges and collaborate across disciplines to surface insights that drive action. The analyst will work with structured and unstructured data, blending analytical techniques with clear communication to enable decision-making at scale.

Core Responsibilities

  • Gather and reformat data from Government-identified primary and secondary sources for human and machine analysis.
  • Use Python-based statistical tools (e.g., NumPy) and GIS tools (e.g., ArcGIS) to analyze datasets and identify trends, patterns, and insights relevant to mission outcomes.
  • Prepare analytical reports that clearly communicate findings to executive leadership in the context of local, national, and global security trends.
  • Collaborate with developers, engineers, and mission stakeholders to recommend system improvements and develop policies for data governance.
  • Document the data analysis process in a way that enables reproducibility and transparency for Government stakeholders.

Qualifications

  • Active DoD TS/SCI clearance.
  • Bachelor's degree in Computer Science, Data Science, Information Systems, or a related technical field.
  • A certificate in Data Science or Data Engineering may supplement a non-technical degree.
  • At least 1 year of relevant experience applying data analysis principles, including predictive analytics and working with on-prem and cloud-based data systems.
  • Intermediate proficiency with Python, including use of libraries like NumPy or pandas.
  • Familiarity with business intelligence (BI) methodologies, API integrations, and database design.
  • Demonstrated ability to identify trends and build diagnostic or predictive models.
  • Experience preparing data-driven deliverables for non-technical leadership audiences.
  • Experience with ESRI ArcGIS Pro, Survey123, or similar tools.
  • Familiarity with git-based version control systems.
  • Exposure to DevSecOps or analytics development workflows.

EEO Commitment

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.