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Remote Data Engineer Jobs in Bellevue, NE (NOW HIRING)

AI Engineer - Remote Apply now Job no: 504788 Work type: Full Time Regular Location: Nebraska ... Data and AI Architecture Leadership:Design, develop, and deploy AI and generative AI solutions ...

Data Scientist - AI Systems

Omaha, NE · On-site +1

$110K - $130K/yr

Remote Categories: Information Technology Data Scientist - AI Systems This role focuses on ... PhD in AI, mathematics, statistics, physics, economics, data science, computer engineering ...

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 ...

This position is fully remote, while occasional travel may be required. Primary Responsibilities ... You'll work closely with product, engineering, legal, sales and other market-facing teams. * Grow ...

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Remote Data Engineer information

See Bellevue, NE salary details

$42.2K

$122.9K

$168.2K

How much do remote data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote data engineer in Bellevue, NE is $122,918.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $130,300.00 per year, depending on experience, location, and employer.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.
What cities near Bellevue, NE are hiring for Remote Data Engineer jobs? Cities near Bellevue, NE with the most Remote Data Engineer job openings:
Infographic showing various Remote Data Engineer job openings in Bellevue, NE as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $122,918 per year, or $59.1 per hour.

AI Engineer - Remote

Mutual of Omaha

Omaha, NE • Remote

Full-time

Retirement, PTO

Re-posted 8 days ago


Mutual Of Omaha rating

8.7

Company rating: 8.7 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

69th of 303 rated insurance


Job description

AI Engineer - Remote

Apply now Job no: 504788
Work type: Full Time Regular
Location: Nebraska, Remote
Categories: Information Technology

Mutual Of Omaha is seeking an experienced developer to lead the design and implementation of Machine Learning and generative AIapplications for our Workplace Solutions division. This role calls for a multifaceted expert with deep knowledge of Machine Learning, Generative AI, and DevOps who can seamlessly align technical solutions with business needs. You will champion strategic initiatives thatleverageanalytics and artificial intelligence to enhance customer experiences,optimizeoperations, and deliver business value through scalable, ethical technology solutions. 

 This role is essential in shaping our AI strategy and governance framework, enabling intelligent automation, machine learning operations, and integrated insights. You will drive this transformation by operationalizing AI to unlock actionable intelligence across the organization. We are looking for someone who can rapidly advance our GenAI capability. You'll bring seasoned critical thinking, mentor others, and act as a strong communicator with the business to drive adoption and impact. 

 WHAT WE CAN OFFER YOU: 

  • Estimated Salary (Levels have variable responsibilities and qualifications): 
  • Engineer II: $110,000 - $130,000, plus annual bonus 
  • Engineer III: $130,000 - $150,000, plus annual bonus 
  • 401(k) plan with a 2% company contribution and 6% company match 
  • Work-life balance with vacation, personal time, and paid holidays. Please see benefits and perks pagefor details. 
  • Applicants for this position must not now, nor at any point in the future, require sponsorship for employment. 

WHAT YOU'LL DO: 

  • Data and AI Architecture Leadership:Design, develop, and deploy AI and generative AI solutions, leveraging large language models to build and enable analytics, machine learning capabilities, and intelligent automation across the division. 
  • Strategy, Roadmap and Stakeholder Alignment: Collaborate with business leadership and enterprise architects to define a roadmap for ML and generative AI capabilities (e.g., LLM application patterns), focusing on platform modernization and governance aligned to measurable outcomes. 
  • AI Innovation & Prototyping: Build and iterate on AI/ML and generative AI proofs of concept (POCs), data/feature pipelines, and model workflows. Facilitate "what-if" exploration, whiteboarding, and design sprints to validate feasibility and business impact. Own solutions end-to-end from prototype through production rollout. 
  • Governance,Ethicsand BestPractices: Establish and uphold standards for quality,governance,ethical AI practices, and secure model deployment while promoting regulatory compliance and trust.Improve accuracy by employing systematic experimentation, prompt engineering, data and training versioning, and A/B testing to empiricallyoptimizemodel performance. Implement AIOps best practices to streamline the lifecycle of AI models. 
  • Mentorship & Enablement: Guide teams in adopting and building LLM-powered applications, including context engineering, orchestration patterns, and evaluation practices. Accelerate adoption by providing reusable templates and reference implementations that enable consistent, scalable delivery and stay current on advancements in GenAI/AI, cloud capabilities, and emerging best practices. 
  • Collaboration & Integration: Integrate data solutions with microservices, event-based architectures, and external business partners, ensuring scalability, observability, and operational readiness. 

WHAT YOU'LL BRING 

  • Bachelor's degree in Science, Engineering, or quantitative fields (Mathematics, Statistics, Data Science, etc.), or equivalent experience, with at least5years deploying and supporting full-stack applications in enterprise environments, and several years of experience integrating AI, MLsolutions into full-stack applications. 
  • Experienced in full-stack development (backend, frontend, and database technologies) with expertise in frameworks like React or Vue, and strong skills in Python, TypeScript, git, SQL, CI/CD pipelines, automated testing, and DevOps best practices. 
  • Experienced in AWS services, particularly Bedrock, SageMaker, S3, Lambda, and infrastructure as code (CDK). Extensive experience applying software engineering design patterns and enterprise application architecture principles to build secure, scalable, maintainable, and cost-optimized cloud-native applications. 
  • Experienced in developing and deploying AI/ML systems, with expertise in GenAI application development, LLM integration, and AIOps, implementing responsible AI practices, and optimizing AI solutions for production performance. 
  • Strong communicator and collaborator, experienced at building partnerships in remote and ever-changing environments. Resilient and resourceful problem solver, proactive at overcoming obstacles to achieve goals. Comfortable with ambiguity and change, demonstrating high learning agility, adapting quickly to shifting priorities, and bringing clarity to undefined problems. 
  • You promote a culture of diversity and inclusion, value different ideas and opinions, andlisten courageously, remaining curious in all that you do. 
  • Able to work remotely with access to a high-speed internet connection and located in the UnitedStates or Puerto Rico. 

 PREFERRED: 

  • Group Benefits or insurance industry experience. 
  • Advanced degree in an analytical fieldwith proven in-depth AI knowledge. 
  • Experienced with AI/ML OPS practices, distributed data processing, and building real-time data pipelines and familiar with data mesh principles, andreal-timeanalytics. 
  • Familiarity with single or multi-cloud agentic architecture for building LLM-based applications. 
  • AI engineer who can design and implement production-grade solutions across probabilistic and deterministic approaches (LLMs/classical ML/rules), including evaluation, orchestration, and integration into maintainable services. 

We value diverse experiences, skills, and passion for innovation. If your experience aligns with the listed requirements, please apply! 

If you have questions about your application or thehiring process, email our Talent Acquisition area atcareers@mutualofomaha.com. Please allow at least one week from time of applying if you are checking the status. 

Stay Safe from Job Scams 
Mutual of Omaha only accepts applications frommutualofomaha.com/careers. Legitimate communications will come from '@mutualofomaha.com'.  We never request sensitive information or extend job offers without conducting interviews. For more details, check outHiring FAQs. Stay alert for scams and apply securely! 

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Advertised: Jul 16, 2026 06:45 PM Central Daylight Time
Applications close:

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