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Data Analytics Engineer Jobs in Nebraska (NOW HIRING)

Analytics Engineer

Scottsbluff, NE · On-site

$70K - $75K/yr

Bachelor's degree in Data Analytics, Information Systems, Computer Science, or equivalent experience * 2+ years in Business Intelligence, Analytics Engineering, or Process Automation * Experience ...

Analytics Engineer

Scottsbluff, NE · On-site

$70K - $75K/yr

Bachelor's degree in Data Analytics, Information Systems, Computer Science, or equivalent experience * 2+ years in Business Intelligence, Analytics Engineering, or Process Automation * Experience ...

Data Modeling & Analytics Engineering Design, build, and maintain analytics ready data models using dbt, following dimensional and semantic modeling best practices (e.g., star schemas, marts, facts ...

Data Modeling & Analytics Engineering • Design, build, and maintain analytics ready data models using dbt, following dimensional and semantic modeling best practices (e.g., star schemas, marts ...

Sr Data Analytics Developer Apply now Job no: 504881 Work type: Full Time Regular Location: Remote Categories: Analytics/Data Science In this role, you'll spend your day analyzing and connecting data ...

Senior Analytics Engineer

Omaha, NE

$100K - $137K/yr

In the role of Senior Analytics Engineer, we'll count on you to: Lead design of complex analytics ... Minimum 5 years of analytics or data experience with demonstrated ownership of complex analytical ...

Senior Analytics Engineer

Omaha, NE · On-site

$100K - $137K/yr

Required Qualifications • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or equivalent practical experience. • Minimum 5 years of analytics or data experience with ...

The Senior Director, Data & Analytics is the enterprise leader accountable for Valmont's end-to-end ... Partner with Infrastructure & Operations and Software Engineering leaders to ensure Databricks and ...

Required Qualifications • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or other applicable degree. • Experience in analytics, BI, or data roles with demonstrated ...

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 (Hybrid - Omaha, NE preferred) Role Overview How This Role Fits into WoodmenLife This role is part of a ...

Partner with analysts to translate business questions into durable data models. Implement models ... Engineering, or other applicable degree. Experience in analytics, BI, or data roles with ...

Principal, Data & AI Platform Engineer

Omaha, NE · On-site

$109K - $131K/yr

Job Title Principal, Data & AI Platform Engineer About the Role Design, build, and operate a secure ... Analytics & Reporting * Build analytics datasets and semantic layers to support enterprise ...

... 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 ...

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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.

Analytics Engineer

21st Century Equipment

Scottsbluff, NE • On-site

$70K - $75K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

21st Century Equipment LLC is looking for a full‑time Analytics Engineer who thrives on creating clarity from complexity, building elegant analytics solutions, and empowering teams with reliable, trustworthy data. If you're seeking a role with real influence and long‑term growth, this is your opportunity.

Why This Role Is Your Next Big Move

Since 1996, 21st Century Equipment LLC has empowered farmers with cutting‑edge agricultural equipment and innovative solutions. We value integrity, accountability, teamwork, and long‑term commitment to production agriculture. Employees enjoy strong benefits, advancement opportunities, and a supportive environment that rewards achievement and embraces change.

Compensation

Pay: $70,000-$75,000 per year

Benefits

  • Competitive pay (based on experience)
  • Medical insurance and HSA
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Paid holidays and PTO
  • 401(k) with company match
  • And many more

Your Mission

As our Analytics Engineer, you will:

  • Build semantic models and analytics foundations that support scalable, governed enterprise reporting
  • Develop intuitive dashboards and reporting experiences in Power BI
  • Automate workflows using Power Automate to streamline operations and reduce manual workloads

This is not a maintenance position-this is a build‑what's‑next and improve‑how‑we-operate role.

Who You Are

  • Bachelor's degree in Data Analytics, Information Systems, Computer Science, or equivalent experience
  • 2+ years in Business Intelligence, Analytics Engineering, or Process Automation
  • Experience designing semantic models and working with enterprise reporting structures
  • Understanding of data governance, quality, and reporting best practices

Preferred Expertise:

  • SQL, DAX, and Power Query
  • Microsoft Fabric & Power BI in an enterprise environment
  • Power Automate or similar tools
  • Microsoft Dynamics 365 and Dataverse
  • Ability to blend analytics and data engineering skills with emerging AI technologies

Core Strengths:

  • Semantic modeling & analytics architecture
  • Data visualization & storytelling
  • Workflow automation
  • Cross‑functional collaboration
  • Strong documentation & governance
  • Continuous improvement mindset

Join Us and Help Design the Future

If you're ready to influence how data is used across an entire organization and take on a role that challenges and rewards you, now is your moment.

Apply today to become our next Analytics Engineer!


If a job offer is made for this position, it will be contingent upon passing a pre-employment drug test, background check, and determination of insurability for positions that require driving. If the drug test comes back positive or you are not insurable for a position that requires driving, the job offer will be rescinded.