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Entry Level Ai Data Engineer Jobs in Raleigh, NC

Duke University

AI Data Engineer

Durham, NC · On-site

$110K - $132K/yr

AI Data Engineer Data Analytics Practice | Office of Information Technology Be You. The Office of Information Technology is looking for an AI Data Engineer to join our Data Analytics Practice and ...

Duke University

AI Data Engineer

Durham, NC · Hybrid

$110K - $132K/yr

AI Data Engineer Data Analytics Practice | Office of Information Technology Be You. The Office of Information Technology is looking for an AI Data Engineer to join our Data Analytics Practice and ...

Deloitte

AI Engineer Consultant

Raleigh, NC · Hybrid

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

Deloitte

AI Engineer Consultant

Raleigh, NC · Hybrid

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

Dlapiper

Data Engineer

Raleigh, NC

$111K - $133K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... consistent analytics/AI consumption and creating reduced manual effort through reusable ...

CWILL

Data Engineer - Bilingual Mandarin required

Cary, NC · On-site

$106K - $127K/yr

As a US-side data engineer, you will participate in multi-source data ingestion, data lakehouse and warehouse development, data quality governance, data platform capability building, and AI Agent ...

New

Pwc

Data Engineer - Senior Associate

Raleigh, NC · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Raleigh, NC

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Raleigh, NC · On-site

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Duke University

AI Engineer

Durham, NC · Hybrid

$110K - $132K/yr

AI Engineer Data Analytics Practice | Office of Information Technology Be You. The Office of Information Technology is looking for an AI Engineer to join our Data Analytics Practice and help advance ...

Pyramid Consulting

AI/ML Engineer

Raleigh, NC

AI/ML Engineer Immediate need for a talented AI/ML Engineer. This is a 06-12+ months contract ... Data Engineering & MLOps * Collaborate with data engineers to collect, clean, and structure ...

Pwc

AI & GenAI Data Scientist-Senior Associate

Raleigh, NC · On-site

$77K - $202K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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All JobsAi Data Engineer JobsEntry Level Ai Data Engineer JobsEntry Level Ai Data Engineer Jobs in Raleigh, NC

Entry Level Ai Data Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do entry level ai data engineer jobs pay per year?

As of Jun 13, 2026, the average yearly pay for entry level 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 entry level AI data engineers in their first year on the job?

Entry level AI data engineers often encounter challenges such as learning to manage large datasets efficiently, understanding complex data pipelines, and adapting to rapidly evolving AI tools and frameworks. Collaborating with data scientists and senior engineers can be initially overwhelming, but it's a great opportunity to learn industry best practices. Balancing multiple tasks like data cleaning, preprocessing, and supporting model deployment while honing programming skills is typical. Proactively seeking feedback and asking questions is key to overcoming these hurdles and growing in the role.

What are the key skills and qualifications needed to thrive as an Entry Level AI Data Engineer, and why are they important?

To thrive as an Entry Level AI Data Engineer, you need proficiency in programming languages like Python or Java, a foundational understanding of data structures and algorithms, and a relevant degree in computer science or a related field. Familiarity with data processing frameworks (e.g., Hadoop, Spark), cloud platforms (e.g., AWS, Azure), and basic knowledge of machine learning libraries are typically expected. Strong analytical thinking, attention to detail, and effective teamwork set outstanding candidates apart. These skills and qualities are crucial for building reliable data pipelines, supporting AI models, and ensuring efficient collaboration within technical teams.

What is the difference between Entry Level Ai Data Engineer vs Data Analyst?

AspectEntry Level Ai Data EngineerData Analyst
Required SkillsBasic programming, data modeling, understanding of AI/ML conceptsData visualization, statistical analysis, SQL proficiency
CertificationsPython, SQL, entry-level AI/ML coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, AI startups, data-driven teamsBusiness, marketing, finance sectors
Job FocusBuilding AI models, data pipelines, integrating AI solutionsInterpreting data, creating reports, supporting decision-making

While both roles involve working with data, Entry Level Ai Data Engineers focus on developing AI models and data infrastructure, whereas Data Analysts primarily analyze data to generate insights. The former requires some knowledge of AI/ML, while the latter emphasizes statistical and visualization skills.

What is an Entry Level AI Data Engineer?

An Entry Level AI Data Engineer is a professional who helps build and maintain data pipelines and infrastructure to support artificial intelligence and machine learning applications. They typically work with large volumes of data, ensuring it is properly collected, cleaned, and organized for analysis. Their responsibilities may include working with databases, data processing tools, and cloud platforms, as well as collaborating with data scientists and software engineers to enable AI-driven solutions. This role is ideal for recent graduates or those new to the field, providing foundational experience in data engineering within the context of AI.
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:
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What cities near Raleigh, NC are hiring for Entry Level Ai Data Engineer jobs? Cities near Raleigh, NC with the most Entry Level Ai Data Engineer job openings:
Entry Level Ai Data Engineer jobs near you
AI Data Engineer

AI Data Engineer

Duke University

Durham, NC • On-site

$110K - $132K/yr

Full-time

Posted 8 days ago

Duke University rating

6.5

Company rating: 6.5 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

437th of 536 rated colleges and universities

Job description

AI Data Engineer
Data Analytics Practice | Office of Information Technology
Be You.
The Office of Information Technology is looking for an AI Data Engineer to join our Data Analytics Practice and help shape the future of Duke's enterprise data platform. In this role, you'll build and evolve the data foundations that power analytics, reporting, and AI-driven applications across the university.
You'll work at the intersection of data engineering, analytics, and emerging AI use cases-partnering closely with AI engineers and analysts to ensure institutional data is secure, reliable, and ready for advanced insights. If you enjoy building scalable platforms, working across domains, and turning complex data ecosystems into trusted, reusable assets, this role offers the opportunity to make a broad and lasting impact.
Minimum Requirements
  • Bachelor's degree in computer science, engineering, information systems, or a related technical field, or an equivalent combination of education and experience.
  • Strong experience designing and building data platforms, including cloud-based data warehouse or lakehouse architectures.
  • Proficiency in Python and SQL, with experience developing production-grade data pipelines.
  • Hands-on experience with modern data stack tools such as dbt for transformations and Prefect, Airflow, or similar orchestration tools.
  • Solid understanding of data modeling approaches (e.g., dimensional modeling, star schema, data vault).

Preferred Qualifications
  • Experience supporting AI and ML data workloads, including unstructured data pipelines, embeddings, and integration with vector databases or search platforms.
  • Familiarity with data governance practices and tooling (metadata management, lineage, data quality frameworks).
  • Experience building shared data infrastructure, reusable frameworks, and self-service data access layers.
  • Exposure to containerization, CI/CD pipelines, and modern cloud architecture principles.
  • Master's degree in computer science, engineering, or a related discipline.

Other Requirements
  • This position is hybrid eligible. Must be available for 1-2 weekly meetings on-site in Durham, NC location.

Be Bold.
In this role, you will:
  • Design, build, and maintain Duke's core enterprise data platform, supporting analytics, reporting, and AI applications at scale.
  • Develop and manage scalable, reusable data pipelines that integrate data from institutional systems such as student, HR, finance, and research administration.
  • Implement standardized transformation frameworks to deliver high-quality, well-documented data models for downstream consumption.
  • Partner with AI engineers and analysts to enable AI-ready data infrastructure, including support for retrieval-augmented generation, embeddings, and unstructured data ingestion.
  • Establish platform standards, governance capabilities, and best practices, including metadata management, data quality monitoring, security controls, and performance optimization.

Choose Duke.
At Duke University, data is a strategic asset-and the Data Analytics Practice plays a central role in enabling insight, innovation, and informed decision-making across the institution. As part of the Office of Information Technology, you'll collaborate with a diverse group of technologists and stakeholders who are committed to excellence, inclusion, and discovery.
You'll have the opportunity to work on highly visible, enterprise-scale initiatives while helping shape modern data and AI capabilities in higher education. Duke offers a collaborative culture, meaningful work with real-world impact, and a competitive benefits package designed to support your professional growth and personal well-being.
Learn more about Duke University's benefits https://hr.duke.edu/benefits/.
Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status.
Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.
Essential Physical Job Functions:
Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.

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About Duke University

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Duke is regarded as one of America's leading research universities. Located in Durham, North Carolina, Duke is positioned in the heart of the Research Triangle, which is ranked annually as one of the best places in the country to work and live. Duke has more than 15,000 students who study and conduct research in its 10 undergraduate, graduate, and professional schools. With about 40,000 employees, Duke is the third largest private employer in North Carolina, and it now has international programs in more than 150 countries.

Industry

Colleges, universities, and professional schools and hospitals

Company size

10,000+ Employees

Headquarters location

Durham, NC, US

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