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

Data Engineer II

Raleigh, NC · On-site +1

$111K - $133K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... As part of our growing Cloud Data & AI Platform organization, you will collaborate with a talented ...

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 ...

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 ...

Principal Data Engineer

Raleigh, NC · Remote

$112K - $193K/yr

Apply advanced analytics and AI enabled insights to surface trends, risks, and opportunities ... Required Qualifications: * 10 years of experience in Data Engineering, Analytics Engineering, Data ...

New

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 ...

Lead Data Engineer

Raleigh, NC · Remote

$157K - $223K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Responsible for all phases of data processing system projects, from requirements definition to ...

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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 Aug 28, 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 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 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 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 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 August 2026, with employment types broken down into 62% Full Time, 26% Part Time, and 12% Contract. Highlights an 100% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.

Data Engineer II

First Citizens Bank

Raleigh, NC • On-site, Remote

$111K - $133K/yr

Full-time

Re-posted 5 days ago


First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

106th of 172 rated banks


Job description

Overview

This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas.

We are seeking a motivated Data Engineer II to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision-making across the organization.

The ideal candidate is a hands-on data engineer with experience in cloud-based data platforms, data warehousing, ETL/ELT development, and modern data engineering practices. This individual will contribute to the development and support of scalable data pipelines, integrations, and data products utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies.
As part of our growing Cloud Data & AI Platform organization, you will collaborate with a talented team of engineers, product partners, and business stakeholders to modernize enterprise data platforms and deliver cloud-based data solutions that support critical business initiatives. This is an opportunity to work with modern technologies, solve complex data challenges, and contribute to the bank's data and AI transformation journey.


Responsibilities & Qualifications

The successful candidate will thrive in a collaborative environment, possess strong problem-solving skills, and be passionate about building reliable, scalable, and high-quality data solutions.

  • Design, build, and support scalable data pipelines and cloud-based data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies.
  • Implement data warehouse solutions, dimensional data models, and ETL/ELT processes that support reporting, analytics, and business intelligence capabilities.
  • Implement data quality validations, test cases, and controls to ensure accurate, consistent, and reliable data assets.
  • Develop and maintain data tests, including dbt tests, to support data quality and reliability requirements.
  • Support workflow orchestration, monitoring, troubleshooting, log analysis, and production operations using Airflow and cloud-native technologies.
  • Collaborate with business users, product partners, analysts, and technology teams to deliver data solutions that support business objectives.
  • Follow established engineering standards, development practices, documentation requirements, and testing procedures to support high-quality solution delivery.
  • Participate in pipeline deployments, environment promotion activities, operational support, and performance optimization efforts using established CI/CD processes.
  • Leverage AI-powered development and productivity tools to improve engineering efficiency, code quality, and delivery outcomes.

Bachelor's Degree and 2 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.
OR
High School Diploma or GED and 6 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.

Preferred Qualifications
  • Experience working with cloud-based data platforms and modern data processing technologies such as AWS, Snowflake, Spark, or equivalent solutions.
  • Proficiency in Python and SQL with experience developing ETL/ELT processes, data pipelines, and data integration solutions.
  • Experience utilizing modern data engineering tools and frameworks such as dbt, Apache Airflow, or similar technologies.
  • Experience contributing to the delivery and support of scalable, reliable data solutions in enterprise environments.
  • Experience collaborating with business and technology stakeholders to deliver data-driven solutions.
  • Strong analytical, problem-solving, and communication skills.
Additional Qualifications are a plus
  • Experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies.
  • Experience with Operational Data Stores (ODS), analytics platforms, and data products.
  • Experience working with cloud-based and on-premises data environments.
  • Exposure to Data Vault modeling and modern data warehousing methodologies.
  • Understanding of data governance, security, compliance, and data quality management practices.
  • Experience within Financial Services, Banking, or other highly regulated industries.
  • Familiarity with Tableau, Power BI, or other analytics and visualization platforms.
  • Experience using AI-powered development and productivity tools to improve engineering efficiency and delivery outcomes.
  • AWS Certified Cloud Practitioner, AWS Certified Developer – Associate, AWS Certified Data Engineer – Associate, SnowPro Core Certification, or equivalent cloud and data platform certifications.

Additional Information

#LI-JM1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

#LI-JM1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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