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Data Analytics Engineer Jobs in Nebraska (NOW HIRING)

21st Century Equipment

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 ...

21st Century Equipment

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 ...

HDR

Analytics Engineer

Omaha, NE · On-site

The Analytics Engineer will be responsible for transforming raw data into analytics-ready datasets to support enterprise reporting and business decision-making, collaborating with various teams to ...

HDR

Analytics Engineer

Omaha, NE · On-site

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 ...

HDR

Analytics Engineer

Omaha, NE

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 ...

Mutual of Omaha

Sr Data Analytics Developer

Omaha, NE

$90K - $115K/yr

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 ...

HDR

Senior Analytics Engineer

Omaha, NE · On-site

$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 ...

HDR

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 ...

HDR

Analytics Engineer 2

Omaha, NE · On-site

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 ...

WoodmenLife

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 ...

HDR

Analytics Engineer 2

Omaha, NE · On-site

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 ...

Monitise

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 ...

Lorven Technologies

Data Analyst

Omaha, NE · On-site

Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. * 5+ years of experience in Data Analytics, Business Intelligence, Reporting, or related analytical ...

Flagstar Bank

Data Scientist Sr

Atlanta, NE · On-site

Minimum experience required: 5+ Years relevant data engineering, data analytics, computer science, business intelligence industry experience. * Experience leveraging tools for ETL and data wrangling.

Flagstar Bank

Data Scientist Sr

Atlanta, NE · On-site

Minimum experience required: 5+ Years relevant data engineering, data analytics, computer science, business intelligence industry experience. * Experience leveraging tools for ETL and data wrangling.

ALLO Fiber

Senior Data Analyst

Hastings, NE

$83K - $105K/yr

... data engineers, data scientists, and other data analysts. A key part of this role is not only ... Advise on the selection and effective use of analytics and AI tools (e.g., BI platforms ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Nebraska

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 Jul 15, 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.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and those in high-demand markets more likely to reach or exceed this level.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, machine learning, and proficiency with tools like Python, SQL, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes equity compensation.

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.

Is 40 too late for data science?

Data Analytics Engineers and data science professionals can successfully transition into the field at age 40 or older, as skills such as programming, statistical analysis, and experience with tools like Python or SQL are valuable regardless of age. Many employers value diverse experience and lifelong learning, and certifications or online courses can help enhance credentials at any age.

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 data pipelines and systems to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to deliver actionable insights.
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:
What job categories do people searching Data Analytics Engineer jobs in Nebraska look for? The top searched job categories for Data Analytics Engineer jobs in Nebraska are:
Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Nebraska as of July 2026, with employment types broken down into 1% Internship, 87% Full Time, 6% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $123,678 per year, or $59.5 per hour.

Data Analytics Developer

FMNE Insurance Company

Lincoln, NE • On-site

Full-time

Medical, Retirement

Re-posted 5 days ago

Job description

FMNE Insurance is seeking a Data Analytics Developer in our Actuarial Department. We’re looking for a highly analytical and solutions-oriented data professional who is passionate about transforming complex data into meaningful insights that support actuarial and business decision-making. The ideal candidate is collaborative, technically strong, and detail-focused, with the ability to manage multiple priorities, build trusted relationships across teams, and develop efficient, reliable data solutions. Join a stable, values-driven company with deep Midwest roots and a strong team-focused culture.

This position is not eligible for visa sponsorship. Applicants must be authorized to work in the United States on a full-time basis. Please submit a resume and cover letter for consideration.

We offer a competitive salary and a comprehensive benefits package, including health coverage, a generous 401(k), pension plan, wellness programs and a hybrid work model for eligible employees.

Role Overview of a Data Analytics Developer

The Data Analytics Developer is a critical member of the Actuarial team and is responsible for, but not limited to, the preparation, transformation, and integration of data for accurate and effective actuarial analyses. This role collaborates closely with Data Scientists, Actuarial Analysts, and other stakeholders to ensure data quality, reliability, and performance of solutions.

Responsibilities of a Data Analytics Developer
  • Demonstrates the Company’s mission, while successfully performing its core values related to integrity, service, excellence, stability, strength, respect, and teamwork.
  • Responsible for extracting, transforming, and loading (ETL/ELT) data to support actuarial analysis.
  • Perform data cleansing, transformation, and validation processes for data integrity and accuracy.
  • Create tables, views and stored procedures to support Actuarial processes.
  • Collaborate with the actuarial team to understand data requirements and provide accurate, timely data for pricing, reserving, and other actuarial functions.
  • Design, develop and maintain dashboards, reports and visualizations that empower stakeholders to make data-informed decisions and drive business outcomes.
  • Work in conjunction with the IT department to maintain up-to-date and optimized actuarial infrastructure.
  • Understand and work with colleagues to ensure continued compliance with data governance standards and security policies.
  • Maintain ETL processes, reports and dashboards.
  • Work closely with other departments to understand business needs.
  • Build and maintain trust with key stakeholders.
  • Regular and timely attendance in the office is an essential function of the position.
Skills and Qualifications of a Data Analytics Developer
  • Bachelor’s degree in MIS, Computer Science, or other analytical areas.
  • Minimum of three years of experience working with data.
  • Must possess strong SQL skills.
  • Knowledge of SQL Server, SSIS, SSRS, Power BI or equivalent.
  • Experience with Python and/or R.
  • Familiar with Azure data services including Azure Data Factory (ADF).
  • Strong ability and desire to use technology to solve complex problems.
  • Knowledge of data tools, techniques, and manipulation including cloud platforms, programming languages, and technology platforms.
  • Knowledge of insurance industry preferred.
  • Aptitude for solving complex problems and overcoming challenges, demonstrating resilience and adaptability in finding solutions.
  • Demonstrated success in addressing business needs with analytics.
  • Ability to manage multiple tasks at the same time in a dynamic environment.
  • Excellent oral and written communication skills, self-driven, and strong quantitative, analytical, and interpersonal skills.

FMNE Insurance Company recognizes that an individual with a disability may require accommodation to enable them to successfully perform a job function. Should you require such accommodation, please indicate the job function and suggested accommodation during the interview process. FMNE will attempt to make reasonable accommodation.

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