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Remote Ai Data Engineer Jobs in Utah (NOW HIRING)

Senior AI Security Engineer

Lehi, UT · On-site +1

$107K - $147K/yr

Automate processes for data collection, analysis, and visualization Required Experience: * Hands-on ... fully remote for qualified candidates in other locations NRG Energy is committed to a drug and ...

Senior AI Security Engineer

Lehi, UT · On-site +1

$107K - $147K/yr

Automate processes for data collection, analysis, and visualization Required Experience: * Hands-on ... fully remote for qualified candidates in other locations NRG Energy is committed to a drug and ...

Senior AI Security Engineer

Lehi, UT · On-site +1

$107K - $147K/yr

Automate processes for data collection, analysis, and visualization Required Experience: * Hands-on ... fully remote for qualified candidates in other locations NRG Energy is committed to a drug and ...

Senior AI Security Engineer

Lehi, UT · On-site +1

$107K - $147K/yr

Automate processes for data collection, analysis, and visualization Required Experience: * Hands-on ... fully remote for qualified candidates in other locations NRG Energy is committed to a drug and ...

Software Engineer - AI-Native Full Stack Bolo AI Bay Area (Hybrid) | Salt Lake City Area (Remote ... data to work. Backed by True Ventures, Benchstrength, Accomplice, Analog Ventures, and Beat ...

Showing results 21-40

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 Utah?

The most popular types of Ai Data Engineer jobs in Utah are:

What job categories do people searching Remote Ai Data Engineer jobs in Utah look for?

The top searched job categories for Remote Ai Data Engineer jobs in Utah are:

What cities in Utah are hiring for Remote Ai Data Engineer jobs?

Cities in Utah with the most Remote Ai Data Engineer job openings:

Infographic showing various Remote Ai Data Engineer job openings in Utah as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Senior AI Security Engineer

NRG Energy

Lehi, UT • On-site, Remote

$107K - $147K/yr

Full-time

Re-posted 9 days ago


Job description

As an NRG employee, we encourage you to take charge of your career and development journey. We invite you to explore exciting opportunities across our businesses. You'll find that our dynamic work environment provides variety and challenge. Your growth is key to our ongoing success-take the lead in shaping your career development, goals and future!


 

At NRG, we're bringing the power of energy to people and organizations by putting customers at the center of everything we do. We generate electricity and provide energy solutions and natural gas to millions of customers through our diverse portfolio of retail brands. A Fortune 500 company, operating in the United States and Canada, NRG delivers innovative solutions while advocating for competitive energy markets and customer choice, working towards a sustainable energy future. More information regarding NRG is available at www.nrg.com.  

About the role:  

Success in this role will require hands-on expertise implementing and optimizing AI solutions, a working knowledge of cybersecurity principles and best practices, experience working with data and APIs, and an ability to articulate impact and risk by tracking and reporting key cybersecurity metrics. NRG is looking for self-driven, high-caliber individuals who can grasp complex business and technical issues and harness information and relationships to deliver solutions. In return, NRG will provide the support, guidance, and opportunities to help our ideal candidate be successful. 

Responsibilities: 

  • Improve internal cybersecurity use cases by implementing AI and conventional process automation 

  •  Support cybersecurity team members in adopting and leveraging AI, both through personal coaching and hands-on implementation assistance 

  • Assist in defining, documenting, and implementing AI security standards, controls, and best practices 

  • Conduct security reviews for AI systems and help internal product teams align AI implementations with enterprise security requirements 

  • Develop and maintain dashboards to report key cybersecurity metrics and risk indicators 

  • Automate processes for data collection, analysis, and visualization 

Required Experience: 

  •  Hands-on experience with AI systems, including building or working with AI agents, LLM-based applications, and automation workflows 

  • Experience working with APIs (REST, Graph-based, etc.) including integration, automation, and security considerations 

  • Experience working with structured and unstructured data (data pipelines, transformation, or analysis) 

  • Experience creating reports, dashboards, or visualizations (e.g., Power BI, Tableau, or similar tools) 

  • Foundational understanding of cybersecurity principles, including application security, identity, and data protection 

  • Intermediate scripting or coding experience (e.g., Python, JavaScript, PowerShell) 

  •  Familiarity with common AI and cybersecurity frameworks and standards (e.g., NIST CSF, OWASP) 

  • Understanding of modern software development and system architecture concepts 

  • Experience evaluating the security of generative AI systems 

  • Experience with cloud platforms (Azure, AWS, GCP) and their security models 

  • Familiarity with data security concepts such as data classification, encryption, and access controls 

Other Required Skills: 

  • Build and maintain effective and collaborative working relationships 

  • High level of self-awareness and social skills 

  • Excellent customer service skills 

  • Take initiative and set high personal performance standards 

  • Ability to see the big picture and ensure actions and solutions solve the real problem 

  • Ability to understand and articulate tradeoffs between security and business outcomes 

  • Ability to communicate complex technical concepts clearly to less-technical stakeholders 

  • Curiosity and adaptability in a rapidly evolving technology landscape 

  • Strong analytical and problem-solving skills 

  • Ability to prioritize and focus on high-impact work 

Minimum Qualifications 

Bachelor's Degree in Cybersecurity or Computer Science or equivalent work experience 

2+ years of experience in software engineering, data engineering, or a related technical field 

Working Conditions 

  •  Open office environment  

  • This role is eligible for in-office work at our Lehi, UT, Princeton, NJ, or Houston, TX locations, or fully remote for qualified candidates in other locations 

NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills.

EEO is the Law Poster (The poster can be found at http://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf)

Official description on file with Talent.


NRG logo

About NRG

Sourced by ZipRecruiter

At NRG, we're bringing the power of energy to people and organizations by putting customers at the center of everything we do. We generate electricity and provide energy solutions and natural gas to millions of customers through our diverse portfolio of retail brands. A Fortune 500 company, operating in the United States and Canada, NRG delivers innovative solutions while advocating for competitive energy markets and customer choice, working towards a sustainable energy future. More information is available at www.nrg.com. Connect with NRG on Facebook, LinkedIn and follow us on Twitter @nrgenergy.

Industry

Oil and coal products manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Houston, TX, US