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Remote Ai Data Engineer Jobs in Nebraska (NOW HIRING)

United States (Remote) Interested applicants must reside in one of the following approved states ... Collaborate with data engineering teams to translate architecture designs into scalable physical ...

This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ... Salary: 75K - 100K AI & Innovation Mindset We are committed to leveraging emerging technologies to ...

This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ... Salary: 75K - 100K AI & Innovation Mindset We are committed to leveraging emerging technologies to ...

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

United States (Remote) Interested applicants must reside in one of the following approved states ... You'll collaborate with engineering, analytics, governance, and business teams to drive adoption ...

Data-Video Generalist Job Type: Contractor Location: Remote - based in Alabama, Alaska, Arkansas ... Complete a device compatibility check and an AI-enabled interview during onboarding. Required ...

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Scope of Work * Analyze and annotate complex biological data sets, focusing on applications ...

This is a role for engineers who enjoy asking "why," digging into complex problems, and ... Salary: 70K - 85K AI & Innovation Mindset We are committed to leveraging emerging technologies to ...

Showing results 41-60

Remote Ai Data Engineer information

What are some common challenges faced by remote AI data engineers, and how can they be addressed?

Remote AI Data Engineers often encounter challenges such as coordinating with cross-functional teams across different time zones, ensuring data security when accessing sensitive datasets remotely, and maintaining effective communication for project updates. To address these, it's important to establish clear protocols for data sharing, leverage collaboration tools (like Slack or Jira), and schedule regular check-ins to align with team goals. Adopting strong version control practices and automated testing can also help streamline workflows and minimize errors in a distributed environment.

What is the difference between Remote Ai Data Engineer vs Data Scientist?

AspectRemote Ai Data EngineerData Scientist
Required CredentialsBachelor's in CS, Data Engineering, or related; experience with cloud platformsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentData pipelines, cloud infrastructure, codingData analysis, statistical modeling, visualization
Employer & Industry UsageTech companies, AI firms, startupsResearch institutions, tech companies, finance
Common Search & ComparisonYesYes

Remote Ai Data Engineers focus on building and maintaining data pipelines and infrastructure for AI applications, requiring skills in data engineering and cloud platforms. Data Scientists analyze data, develop models, and generate insights. While both roles work with data, Data Engineers prepare the data environment, whereas Data Scientists interpret and model the data. They often collaborate but serve different functions in AI and data projects.

What is a remote AI data engineer?

A Remote AI Data Engineer is a professional who designs, builds, and maintains data pipelines and infrastructure to support artificial intelligence (AI) and machine learning (ML) projects, all while working from a remote location. They are responsible for collecting, cleaning, transforming, and storing large datasets, ensuring data quality and accessibility for AI applications. These engineers collaborate with data scientists, software engineers, and stakeholders to deliver data solutions that power intelligent systems, often leveraging cloud technologies and distributed computing. Their work enables organizations to harness data for predictive analytics, automation, and decision-making—without being tied to a physical office.

What are the key skills and qualifications needed to thrive as a remote AI data engineer?

To thrive as a Remote AI Data Engineer, you need strong programming skills (Python, SQL), a solid understanding of data structures, machine learning principles, and typically a degree in computer science or related fields. Familiarity with big data platforms (such as Hadoop or Spark), cloud services (AWS, GCP, or Azure), and experience with AI/ML frameworks like TensorFlow or PyTorch are commonly required. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote setting. These skills and qualities ensure robust AI data pipelines, effective model deployment, and seamless teamwork across distributed environments.
What are the most commonly searched types of Ai Data Engineer jobs in Nebraska? The most popular types of Ai Data Engineer jobs in Nebraska are:
What are popular job titles related to Remote Ai Data Engineer jobs in Nebraska? For Remote Ai Data Engineer jobs in Nebraska, the most frequently searched job titles are:
What cities in Nebraska are hiring for Remote Ai Data Engineer jobs? Cities in Nebraska with the most Remote Ai Data Engineer job openings:
Infographic showing various Remote Ai Data Engineer job openings in Nebraska as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Full-time

Re-posted 2 days ago


Deckers Brands rating

8.9

Company rating: 8.9 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

5th of 61 rated fashion and textile manufacturers


Job description

At Deckers Brands, Together, Every Step is a promise kept that every employee can bring their authentic self, is valued and supported, as a whole person, at work and beyond. Together, Every Step is how we continue to deliver exceptional business results, experience an amazing place to work, and have a positive impact on the communities and world around us.

Job Title:Data Architecture Lead
Reports to:Director, Data Architecture


Location: United States (Remote)

Interested applicants must reside in one of the following approved states: Arizona, California, Colorado, Indiana, Massachusetts, Minnesota, New York, Oregon, Pennsylvania, Texas, Utah, Washington

The Role

As the Data Architecture Lead, you'll be at the forefront of shaping Deckers' enterprise data foundation. You'll translate enterprise architecture standards into domain-aligned designs, define consistent data structures and semantics, and partner with engineering, analytics, and governance teams to ensure our data architectures are implemented and adopted. Your work will enable trusted data products, analytics, operational reporting, and future AI use cases, all through modern data architecture practices that drive innovation and business impact.

We celebrate diversity--of your background, your experiences and your unique identity. We are committed to ensuring an inclusive and equitable workplace where all of our employees can Come as They Are. We believe that when we bring our different perspectives to work, we are truly Better Together.

Your Impact

  • Partner with the Director, Data Architecture to implement enterprise data architecture standards and ensure consistent adoption across domains and initiatives
  • Lead architecture design for assigned domains and initiatives, including conceptual, logical, and physical data structures aligned to business requirements and data products
  • Define and maintain domain-aligned data definitions and semantic consistency to support a unified understanding of key business entities and metrics
  • Develop architecture patterns that support batch and streaming use cases, including event-driven data flows and canonical representations
  • Collaborate with data engineering teams to translate architecture designs into scalable physical implementations on AWS cloud data platforms
  • Participate in architecture and design reviews, providing guidance, feedback, and enforcement of standards for new data products and platform changes
  • Partner with governance teams to align architecture with data quality, privacy, security, access controls, classification, retention, and metadata requirements
  • Maintain architecture artifacts and documentation in a central repository, including definitions, reference designs, and decision records to improve reuse and consistency
  • Facilitate workshops with business and technical stakeholders to capture requirements, refine definitions, and align on domain boundaries and ownership
  • Identify architecture gaps and improvement opportunities, and recommend practical enhancements to standards, patterns, and tooling that improve scalability and interoperability
  • Coach and enable engineers and analysts on architecture expectations and best practices through working sessions, office hours, and documentation

Who You Are

  • Bachelor's degree required, preferably in Computer Science, Information Systems, or a related technical field; Master's degree preferred
  • 8 to 12 years of experience in data architecture and related roles
  • Experience designing architecture in modern cloud-based data ecosystems, including AWS-based platforms
  • Experience supporting domain-oriented data products, data mesh concepts, and event-driven approaches preferred
  • Experience with metadata management, data cataloging, and lineage concepts and platforms
  • Understanding of modern data formats and storage approaches including Parquet, Iceberg, and Delta Lake
  • Strong expertise in conceptual, logical, and physical data architecture across diverse technology stacks
  • Strong understanding of modern data architecture concepts including domain-driven design, data products, and event-driven data flows
  • Ability to translate complex business requirements into scalable and reusable architecture designs
  • Excellent collaboration, facilitation, and influencing skills across technical and business teams
  • Strong analytical and problem-solving abilities combined with a results-driven mindset
  • Comfortable operating in a fast-paced, matrixed, and global environment

What We'll Give You -

  • Competitive Pay and Bonuses - We've created a variety of competitive compensation programs to foster career development, reward success and to show our employees just how much they're valued.
  • Financial Planning and wellbeing - No matter what financial goals our employees have set, we want to help them get there. Our plans provide powerful ways to protect income, pay for expenses and invest in the future.
  • Time away from work - Sometimes we need time away to be with family, focus on our health or just simply recharge. Our plans support our employees' needs to get out, get healthy and come back stronger than ever.
  • Extras, discounts and perks - Being a valued member of the Deckers Brands team means more than just a paycheck. From generous discounts to community-based programs, we offer a variety of cool extras
  • Growth and Development - Deckers Brands was built on the idea of pursuing passion. That's why we offer extensive opportunities and support for personal and professional development.
  • Health and Wellness - There's nothing basic about our comprehensive health and wellness programs and offerings. While at work and at play, we aim to support a healthy lifestyle.
$122,300.00 - $165,000.00

The salary range posted reflects the estimated minimum and maximum target for new hire salaries for this role in:

Goleta, California (Remote)

Individual pay will be determined by location and additional factors, including job related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary for your preferred location during the hiring process.

Equal Employment Opportunity
Diversity and inclusion are key to our success. We are proud to be an equal opportunity employer, and our employees are people with different strengths, experiences and backgrounds who share a passion for our brands. We welcome qualified applicants regardless of their race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, military or veteran status, mental or physical disability, medical condition and all the other beautiful parts of your identity.


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