2

Remote Ai Data Engineer Jobs in Raleigh, NC (NOW HIRING)

Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ... Exposure to or interest in AI-assisted development, automation, metadata-driven frameworks, or ...

We design and deploy agentic AI systems and predictive analytics, supported by AI-ready data assets ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

We design and deploy agentic AI systems and predictive analytics, supported by AI-ready data assets ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

Lead Data Engineer

Raleigh, NC · On-site +1

$129K - $190K/yr

Overview This is a remote role that may only be hired in the following locations: NC, CA We are ... Leverage AI-powered solutions and enterprise-approved AI tools to automate engineering tasks ...

Lead Data Engineer

Raleigh, NC · On-site +1

$129K - $190K/yr

Overview This is a remote role that may only be hired in the following locations: NC, CA We are ... Leverage AI-powered solutions and enterprise-approved AI tools to automate engineering tasks ...

Remote micro1 is engaging Business Document Experts (Excel, PowerPoint, Word) to participate in a ... Familiarity with conversational interactions or prompt engineering with language models is a plus ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Gen AI: RAG, Embedding, Agents, LLMs, Parameter Tuning * Cloud Computing: AWS * Tools/Products ... Experience working with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Gen AI: RAG, Embedding, Agents, LLMs, Parameter Tuning * Cloud Computing: AWS * Tools/Products ... Experience working with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Gen AI: RAG, Embedding, Agents, LLMs, Parameter Tuning * Cloud Computing: AWS * Tools/Products ... Experience working with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data ...

Sr. Data Engineer

Raleigh, NC · Remote

$108K - $147K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Deliver the data infrastructure that makes AI-powered loyalty products possible. Not by building ...

Sr. Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Deliver the data infrastructure that makes AI-powered loyalty products possible. Not by building ...

Senior Data Engineer

Raleigh, NC · Remote

$91K - $163K/yr

Use enterprise-approved AI toolsto automate data engineering workflows, streamline ETL maintenance, and drive continuous improvement in engineering velocity * Implement advanced data ...

Senior AI Scientist

Durham, NC · On-site +1

$108K - $270K/yr

USA (Remote) 🏢 Department: R&DS (Research & Development Solutions) 📄 Employment Type ... Drive data engineering and curation processes to transform structured and unstructured data into ...

Senior AI Scientist

Durham, NC · On-site +1

$108K - $270K/yr

USA (Remote) 🏢 Department: R&DS (Research & Development Solutions) 📄 Employment Type ... Drive data engineering and curation processes to transform structured and unstructured data into ...

next page

Showing results 1-20

Remote Ai Data Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do remote ai data engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for remote ai data engineer in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

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, and why are they important?

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 Raleigh, NC? The most popular types of Ai Data Engineer jobs in Raleigh, NC are:
What are popular job titles related to Remote Ai Data Engineer jobs in Raleigh, NC? For Remote Ai Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Ai Data Engineer jobs in Raleigh, NC look for? The top searched job categories for Remote Ai Data Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Ai Data Engineer jobs? Cities near Raleigh, NC with the most Remote Ai Data Engineer job openings:
Infographic showing various Remote Ai Data Engineer job openings in Raleigh, NC as of July 2026, with employment types broken down into 72% Full Time, 23% Part Time, 1% Temporary, and 4% Contract. Highlights an 65% Physical, 4% Hybrid, and 31% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.

Data Engineer

XTG

Raleigh, NC • On-site, Remote

$111K - $133K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 28 days ago


Job description

The Data Engineer role is responsible for designing, building, and maintaining scalable data pipelines, integrations, and data models that support enterprise reporting, analytics, data migration, and operational decision-making. This role works within established architectural frameworks while contributing to the continued modernization of XTG’s data platform. This role plays a key part in supporting the organization’s transition to modern cloud-based data platforms, including Microsoft Fabric, Power BI, Azure DevOps, and Dynamics 365 data integration initiatives.

The Exponential Technology Group (XTG) is a specialist in the electronic component distribution and design engineering services industries.  XTG is part of the TTI Family of Companies. This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or Raleigh-Durham

ACCOUNTABILITIES: 

Design, develop, test, and maintain data pipelines, dataflows, notebooks, and integration processes across enterprise systems.

Build and support data ingestion frameworks using Microsoft Fabric, Lakehouse/Warehouse architecture, SQL, and cloud-based data engineering patterns.

Develop and maintain Bronze, Silver, and Gold layer data structures to support reporting, analytics, and downstream business processes.

Create scalable ETL/ELT processes to extract, cleanse, transform, and load data from ERP, CRM, operational, and third-party systems.

Partner with business stakeholders, analysts, and application teams to clarify data requirements and translate them into technical solutions.
Support data migration and integration efforts related to Dynamics 365 and other enterprise platform initiatives.
Develop and maintain SQL queries, stored procedures, views, data models, and transformation logic.
Implement data quality checks, validation rules, logging, error handling, and monitoring within data pipelines.
Troubleshoot and resolve issues related to data accuracy, pipeline failures, source system changes, performance, and integration errors.
Contribute to data architecture, governance, naming standards, documentation, and reusable engineering patterns.
Use Azure DevOps, Git, branching strategies, and CI/CD practices to manage source control and deployment of data engineering assets.
Collaborate with reporting and analytics teams to support Power BI semantic models, dashboards, and enterprise reporting needs.
Provide guidance and support to junior team members, analysts, or business users as needed.
Continuously expand technical knowledge across Microsoft Fabric, Azure, Power BI, Dynamics 365, and modern data engineering practices.
Additional duties as assigned.

 

EDUCATION & EXPERIENCE

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field, or equivalent professional experience.

4+ years of professional experience in data engineering, business intelligence, analytics engineering, or enterprise data integration.

Experience building and maintaining data pipelines, ETL/ELT processes, data warehouses, lakehouses, or cloud-based analytics platforms.

Experience working with enterprise systems such as ERP, CRM, financial, operational, or supply chain platforms preferred.

Experience supporting data migration, system integration, or enterprise reporting initiatives preferred.

SKILLS & CERTIFICATIONS

  • Strong SQL development skills, including query optimization, joins, aggregations, views, stored procedures, and data validation logic.
  • Hands-on experience with Microsoft Fabric, Azure Synapse, Azure Data Factory, Databricks, or similar cloud data platforms.
  • Working knowledge of Power BI, semantic models, data modeling, and reporting data structures.
  • Ability to work independently on complex technical tasks while collaborating with business and technical stakeholders.
  • Strong documentation skills, including technical designs, data mappings, source-to-target logic, and operational procedures.
  • Exposure to or interest in AI-assisted development, automation, metadata-driven frameworks, or agentic AI tooling.
  • Microsoft certifications related to Fabric, Azure Data Engineering, Power BI, or Data Fundamentals preferred but not required.

What we offer our team members: 

  • A great benefits package that includes (but is not limited to): Medical/ Dental/ Vision, 401(k)/Roth plan with matching, Healthcare Savings Accounts.
    Educational Assistance (Tuition Reimbursement).
  • Ongoing training throughout your employment with opportunities to participate in professional and personal development programs.
  • A strong focus on giving back to our communities through philanthropic opportunities.
  • Great culture and opportunities for growth and advancement.

This is a summary of the primary accountabilities and requirements for this position.  The company reserves the right to modify or amend accountabilities and requirements at any time at its sole discretion based on business needs.  Any part of this job descriptions is subject to possible modification to reasonably accommodate individuals with disabilities. 

This position requires use of information or access to hardware which is subject to the International Traffic in Arms Regulations (ITAR). To perform the position, you must be a U.S. Person as defined by ITAR. ITAR defines a U.S. person as a U.S. Citizen, U.S. Permanent Resident (i.e. ‘Green Card Holder’), Political Asylee, or Refugee.

Visa sponsorship is not available for this role.  Only candidates authorized to work in the United States will be considered. 

 XTG is an Equal Opportunity Employer, and we support protected veterans and individuals with disabilities through our affirmative action program.