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

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · On-site +1

$111K - $133K/yr

... Data Engineer to support our US Government client with data ingestion, data deduplication and data tagging for migration of a large-scale data environment into Databricks. * This remote contract-to ...

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/yr

... Data Engineer to support our US Government client with data ingestion, data deduplication and data tagging for migration of a large-scale data environment into Databricks. * This remote contract-to ...

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/yr

... Data Engineer to support our US Government client with data ingestion, data deduplication and data tagging for migration of a large-scale data environment into Databricks. * This remote contract-to ...

Principal Data Engineer

Raleigh, NC · On-site +1

$137K - $203K/yr

Work with analysts and their data sets in SQL, Python, R to optimize and troubleshoot ways to ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

New

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

AI Engineer

Raleigh, NC · Remote

$130K - $160K/yr

AI Engineer, location is remote in the Raleigh, NC area with onsite collaboration as needed. The ... Support data accessibility initiatives tied to the client's internal data warehouse and ETL ...

AI Solutions Architect (Remote)

Durham, NC · On-site +1

$61 - $80.25/hr

Integrate knowledge graphs with foundation models to improve contextual understanding, explainability, and AI performance Data Strategy and Engineering * Lead data integration, harmonization, and ...

New

AI Solutions Architect (Remote)

Durham, NC · On-site +1

$61 - $80.25/hr

Integrate knowledge graphs with foundation models to improve contextual understanding, explainability, and AI performance Data Strategy and Engineering * Lead data integration, harmonization, and ...

New

AI Solutions Architect (Remote)

Durham, NC · On-site +1

$61 - $80.25/hr

Integrate knowledge graphs with foundation models to improve contextual understanding, explainability, and AI performance Data Strategy and Engineering * Lead data integration, harmonization, and ...

New

Senior AI Technologist

Raleigh, NC · On-site +1

$48.75 - $63/hr

Bachelor's degree in computer science, Data Engineering, Information Systems, Engineering ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

Sr Staff AI Architect

Raleigh, NC · On-site +1

$143K - $185K/yr

This is a remote role open in the US only. What will you do? The AI & Data Architect will define ... science, Engineering, Data Science, or equivalent experience. Our Mission is to enable our ...

Digital Product Design Senior Manager

Raleigh, NC · On-site +1

$123K - $162K/yr

Remote We Are: Accenture is helping enterprises reinvent their organizations and businesses ... With more than 45,000 AI and data professionals across the company, our AI & Data practice brings ...

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

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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.

Lead Backend Engineer (AI Infrastructure & Data Platforms) | USA

C&D Talent Advisory

Raleigh, NC • Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

About the Hiring Process

When you apply, our AI-powered matching platform considers you not only for this opportunity, but also for other relevant roles across our network, so one application can unlock multiple career opportunities.

We only work with real companies hiring for live positions. Every opportunity on our platform is an active search. If there's a strong match, we'll guide you through the process. If not, we won't ignore you.

About the Company

Our client is building the next generation of AI-powered governance infrastructure, creating intelligent software that transforms how complex organisations manage knowledge, workflows, and decision-making.

Their platform combines AI, automation, distributed systems, and data engineering to power large-scale governance, analytics, and business intelligence. As they continue to scale, they're looking for exceptional engineers who enjoy solving technically challenging problems and building products with real-world impact.

  • Location: Remote (United States)
  • Employment Type: Full-time
  • Level: Lead
  • Work Authorization: Existing US work authorization required.
About the Role

We're looking for a Lead Backend Engineer to build the core automation engine and data platform powering next-generation AI systems.

This is a highly hands-on engineering role where you'll architect scalable backend services, build production-grade data pipelines, develop AI infrastructure, and own complex distributed systems from design through production.

What You'll DoBackend Engineering;
  • Design and build scalable backend services using TypeScript and Node.js
  • Develop production-ready APIs and distributed systems
  • Build automation platforms that improve complex business workflows
  • Architect reliable, scalable backend infrastructure
Data Platforms;
  • Build robust data pipelines integrating third-party APIs and external data sources
  • Design scalable relational database schemas and data models
  • Ensure data integrity, monitoring, validation, and observability
  • Develop infrastructure supporting business intelligence and AI applications
AI Infrastructure;
  • Build systems supporting AI agents and intelligent automation
  • Develop scalable execution environments for AI-powered workflows
  • Create secure, traceable, and reliable automation platforms
  • Contribute to next-generation knowledge management systems
Technical Leadership;
  • Lead projects from architecture through production deployment
  • Drive engineering best practices and technical excellence
  • Identify technical risks early and deliver incrementally
  • Collaborate across engineering and product teams to solve complex problems
What We're Looking ForMust Have;
  • 5+ years building production backend or server-side systems
  • Strong TypeScript and Node.js expertise
  • Experience with Python, Go, Rust, or Java
  • Advanced SQL and relational database design
  • Experience building production data pipelines
  • Experience integrating third-party APIs
  • Strong distributed systems knowledge
  • Excellent system design and architecture skills
  • High ownership and execution mindset
  • Experience leading complex technical initiatives
Nice to Have;
  • AI infrastructure or LLM experience
  • Blockchain or distributed ledger experience
  • Experience with Notion, Supabase, or similar platforms
  • Event-driven architectures
  • Open-source contributions
  • PostgreSQL expertise
  • Observability and monitoring platforms
  • Startup or high-growth company experience
What We Offer
  • Competitive USD compensation
  • Equity and token participation
  • Performance-based bonuses
  • Fully remote within the United States
  • High ownership from day one
  • Opportunity to build cutting-edge AI infrastructure
  • Small, high-performing engineering team
  • Collaborative, fast-paced environment focused on solving meaningful technical challenges

If you're excited about building scalable backend systems, AI-powered infrastructure, and distributed platforms that push the boundaries of intelligent software, we'd love to hear from you...