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Data Analytics Engineer Jobs in Nebraska (NOW HIRING)

Amentum

Data Scientist - Expert

Omaha, NE · On-site

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 ...

Pae

Data Scientist - Expert

Omaha, NE

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 ...

Amentum

Data Scientist - Expert

Omaha, NE · On-site

... Engineering, Mathematics, Statistics, or related field, OR Bachelor's degree with 5 additional years of expert-level experience (total 20 years) • 15 years of experience in data science, analytics ...

CON AGRA FOODS

Sr. Data Engineer

Omaha, NE · Hybrid

$94K - $138K/yr

Reporting to the Manager of Advanced Analytics and Enterprise Insights, you will lead the ... You will apply strong data engineering fundamentals alongside software engineering and DevOps ...

Conagra Brands, Inc.

Sr. Data Engineer

Omaha, NE · On-site

$94K - $138K/yr

Reporting to the Manager of Advanced Analytics and Enterprise Insights, you will lead the ... You will apply strong data engineering fundamentals alongside software engineering and DevOps ...

Conagra Brands

Sr. Data Engineer

Omaha, NE · Hybrid

$94K - $138K/yr

Reporting to theManagerof Advanced Analytics and Enterprise Insights, you will lead the development ... You will apply strong data engineering fundamentals alongside software engineering and DevOps ...

Peraton

Data Scientist (SME)

Offutt Air Force Base, NE · On-site

$135K - $216K/yr

Proficiency in data analysis , machine learning , and statistical modeling . * Experience with programming languages such as Python , R , or SQL . * Familiarity with data visualization tools such as ...

Agile Defense

Data Scientist

Omaha, NE · On-site

... • Strong programming skills in Python or R with experience in data analysis libraries and ... platforms like Databricks for large-scale analytics • Business acumen with proven ability to ...

Peraton

Data Scientist (SME)

Offutt Air Force Base, NE · On-site

$135K - $216K/yr

Proficiency in data analysis , machine learning , and statistical modeling . * Experience with programming languages such as Python , R , or SQL . * Familiarity with data visualization tools such as ...

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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 17, 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 Scientist - Expert

Data Scientist - Expert

Amentum

Omaha, NE • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Job description

This position is contingent upon award of contract, business needs, and funding availability.
The organization is seeking an Expert-Level Data Scientist at Offutt AFB, NE to support the Air Combat Command (ACC) in advancing information-centric decision-making capabilities across Intelligence, Surveillance, and Reconnaissance (ISR) operations. The selected candidate will apply advanced data science methodologies to integrate, analyze, and exploit multi-intelligence (multi-INT) data sources in support of mission-critical objectives.
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 into actionable intelligence products for both technical and non-technical stakeholders. The candidate will serve as a senior technical advisor and lead efforts to modernize analytic tradecraft through automation, advanced analytics, and enterprise data integration aligned with DoD and Intelligence Community (IC) standards.
Essential Responsibilities:
  • Perform advanced data analytics, data mining, and statistical analysis to uncover actionable insights.
  • Design and develop machine learning models, including recommendation engines and predictive systems, to streamline labor-intensive processes.
  • Build, validate, and deploy high-quality predictive models and analytical solutions.
  • Design and implement data architectures, structures, and systems to support mission requirements.
  • Support ISR operations, including SIGINT, cyber, targeting, weather, and PED processes.
  • Ensure data provenance, quality, consistency, and compliance with DoD and IC standards.
  • Develop and automate workflows for data processing, model training, and reporting.
  • Collaborate with cross-functional teams to support strategic and operational decision-making.
  • Ensure data quality, integrity, and governance across analytical workflows.
  • Advise leadership on data analytics strategies, AI/ML initiatives, and data standards.

Work Environment, Physical Demands, and Mental Demands:
This position supports sensitive programs and requires strict adherence to DoD, Air Force, and IC cybersecurity, information assurance, and intelligence oversight standards.
Minimum Requirements (Knowledge, Skills, and Abilities):
  • Candidates must meet all DOD Cyber Workforce Framework (DCWF) Training Code 423 Advanced proficiency requirements in accordance with DOD 8140.03
  • Demonstrated experience working with large-scale and complex datasets, including Multi-INT or similar data environments
  • Advanced proficiency in major data science programming languages including Python, R, and SQL
  • Deep Expertise in data visualization tools and applications, including Power BI and Tableau
  • Extensive experience managing and merging disparate data sources, preferably through R, Python, or SQL

Additional Requirements
  • Willingness to comply with all DoD, Air Force, and local security and conduct standards
  • Ability to complete required training and maintain qualifications throughout the contract
  • Availability for CONUS and OCONUS support as mission requirements dictate
  • Contractor-provided training and certification upkeep (unless Government-directed)
  • Ability to obtain and maintain required program, system, and facility access

Security Clearance Required: TS/SCI eligibility. A CI-scope polygraph examination may be required for some positions.
Minimum Education: Master's degree in data science, Computer Science, Engineering, Mathematics, Statistics, or related field, OR Bachelor's degree with 5 additional years of expert-level experience (total 20 years)
Minimum Years of Experience: 15 years of experience in data science, analytics, or related field; at least part of the required experience must be within the past two (2) years.
Required Certifications:
  • Must meet DoD 8140.02 / DoDM 8140.03 Cyberspace Workforce Qualification Requirements
  • Appropriate DCWF role alignment (e.g., Cyber Defense Analyst, ISSO, Network or Systems Security roles)
  • Certification eligibility prior to contract performance (tracked and reported per Government standards)

Preferred Qualifications:
  • Background in advanced analytics within intelligence, defense, or similar data-intensive domains
  • Experience in developing and deploying automated AI/ML solutions.
  • Familiarity with cloud-based data platforms (e.g., Azure, AWS, or GCP).
  • Experience with big data frameworks (e.g., Spark, Hadoop).
  • Strong written and verbal communication skills

Amentum's health and welfare benefits are designed to invest in you and in the things you care about. Your health. Your well-being. Your security. Your future. Eligible employees and their dependents may elect medical, dental, vision, and basic life insurance. Employees can enroll in our company's 401k plan, and, if eligible, a deferred compensation plan and Executive Deferral Plan. Employees will also receive 17 days of vacation per year, seven paid holidays, plus floating holidays and caregiver leave. Hired applicants will be able to purchase company stock and receive a performance discretionary bonus.
The base salary range for this position is $130k to $194k. This range reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Other Responsibilities:
Safety - Amentum enforces a safety culture whereby all employees have the responsibility for continuously developing and maintaining a safe work environment. As appropriate, each employee is responsible for completing all training requirements and fulfilling all self-aid/buddy aid responsibilities, participating in emergency response tasks and serving on safety committees and teams.
Quality - Quality is the foundation for the management of our business and the keystone to our goal of customer satisfaction. It is our policy to consistently provide services that meet customer expectations. Accordingly, each employee must conform to the Amentum Quality Policy and carry out job activities in compliance with applicable Amentum Quality System documents and customer contracts. Each employee must read and understand his/her Quality Management and Customer Satisfaction responsibilities.
Procedure Compliance - Each employee must read, understand and implement the general and specific operational, safety, quality and environmental requirements of all plans, procedures and policies pertaining to his/her job. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
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