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Data Engineering Internship Jobs in Raleigh, NC (NOW HIRING)

DoW SkillBridge Internship

Raleigh, NC ยท Hybrid

$17.25 - $22.50/hr

Mott MacDonald is looking for interns with diverse skill sets to join our team through the ... Collect, prepare, and maintain engineering data (e.g., tests, drawings). * Assist in preparing ...

DoW SkillBridge Internship

Raleigh, NC ยท Hybrid

$17.25 - $22.50/hr

Mott MacDonald is looking for interns with diverse skill sets to join our team through the ... Collect, prepare, and maintain engineering data (e.g., tests, drawings). * Assist in preparing ...

... programming concepts) and graduate level courses at the 500 level. Instructors will join a ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

... programming concepts) and graduate level courses at the 500 level. Instructors will join a ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

Showing results 21-40

Data Engineering Internship information

See Raleigh, NC salary details

$10

$18

$28

How much do data engineering internship jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data engineering internship in Raleigh, NC is $18.78, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.34 per hour, depending on experience, location, and employer.

What types of projects or tasks can I expect to work on during a data engineering internship?

As a Data Engineering Intern, you can expect to work on a variety of tasks such as building data pipelines, cleaning and transforming raw data, and assisting in the integration of data from multiple sources. You may also support the team in optimizing database performance and ensuring data quality. Interns often collaborate with data scientists, analysts, and software engineers, gaining exposure to different tools and technologies like SQL, Python, and cloud platforms. These experiences provide a strong foundation for a future career in data engineering.

What are the key skills and qualifications needed to thrive as a data engineering intern?

To thrive as a Data Engineering Intern, you need a solid grasp of programming (especially Python or Java), databases (SQL/NoSQL), and data structures, often demonstrated by coursework or relevant projects. Familiarity with data processing tools like Apache Spark, ETL pipelines, and cloud platforms such as AWS or Google Cloud is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication help interns excel in collaborative and fast-paced environments. These skills are crucial for building reliable data pipelines and supporting data-driven decision-making within organizations.

What is the difference between Data Engineering Internship vs Data Analyst Internship?

AspectData Engineering InternshipData Analyst Internship
Required SkillsSQL, Python, ETL, cloud platformsExcel, SQL, data visualization tools
Work EnvironmentData pipelines, backend systems, cloud infrastructureData reporting, dashboards, business insights
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Data Engineering Internships focus on building and maintaining data pipelines and infrastructure, requiring technical skills like SQL and Python. Data Analyst Internships emphasize analyzing data to generate insights, often using Excel and visualization tools. Both roles are common in tech-driven industries but serve different functions within data teams.

What is a data engineering internship?

A Data Engineering Internship is a temporary position designed for students or recent graduates to gain practical experience in building, managing, and optimizing data pipelines and infrastructure. Interns typically work alongside professional data engineers to learn about data extraction, transformation, and loading (ETL) processes, database management, and data warehousing. This role provides hands-on exposure to tools like SQL, Python, and cloud platforms, helping interns develop essential technical skills for a career in data engineering. Interns may also assist in improving data quality and supporting analytics initiatives within a company.
What are the most commonly searched types of Data Engineering jobs in Raleigh, NC? The most popular types of Data Engineering jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Engineering Internship jobs? Cities near Raleigh, NC with the most Data Engineering Internship job openings:
Infographic showing various Data Engineering Internship job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $39,053 per year, or $18.8 per hour.

Associate Value Engineer (AI-Driven Data Science & Analytics) - Orbit Program

Celonis

Raleigh, NC โ€ข On-site

$111K - $133K/yr

Full-time

Re-posted 12 days ago


Job description

The Team: Global Value Engineering Center of Excellence

Become an integral part of our international, diverse, and dynamic Global Value Engineering Center of Excellence. Our Value Engineers are trusted advisors who operate at the intersection of technology and business, partnering with sales and customers to develop compelling Celonis-powered solutions and prototypes that address critical business challenges.

We foster a fast-paced, collaborative environment built on trust, continuous learning, and mutual growth through coaching and mentorship.ย 

The Role: Launch Your Enterprise Software Career

Kickstart your career in enterprise software through our immersive 12-month Orbit Program. This program offers a unique blend of client engagements, dedicated mentorship, and a strong team culture where collaboration and shared success are paramount. You'll leverage your technical background to develop essential Value Engineering skills, build lasting client relationships, and establish yourself as a trusted advisor, paving the way for significant career growth within Celonis.

Your journey begins with comprehensive onboarding and enablement, followed by hands-on experience in customer engagements and targeted training. You will gain expertise in:

  • Building and coding within the Celonis platform (SQL and PQL)
  • Scoping business and technical requirements
  • Effectively handling objections
  • Developing industry domain knowledge
  • Delivering impactful presentations and demos
  • Understanding value selling and realization
  • Managing customer accounts

What You'll Do:

  • Consult with customers using systems analysis to identify core business challenges and determine how Celonis can drive impactful solutions.
  • Present the Celonis AI value proposition and vision to customers and align our solutions with their AI strategy.
  • Prototype and develop AI solutions tailored to customer needs, including both traditional machine learning and LLM-based solutions.
  • Execute proof projects showcasing the value of Celonis Process Intelligence in the context of our customers' strategy, business initiatives, and challenges
  • Develop and modify Celonis data models using SQL and analyses using PQL (Celonis proprietary language) to create compelling prototypes that address customer pain points.
  • Lead proof-of-concept projects within the Celonis platform to demonstrate tangible value aligned with customer strategies and needs.
  • Collaborate with customers and partners to design and build Celonis solutions that ensure a positive return on investment.
  • Establish strong, trusted advisor relationships with customers through your technical expertise, product knowledge, and business acumen.

Articulate and quantify strategic business value for customers, delivering impactful presentations to senior executives.

  • Partner with the implementation services team to ensure successful value realization for customers.
  • Identify opportunities for innovation and collaborate with Product & Engineering teams to influence future product development.
  • Contribute to the Global Value Engineering Center of Excellence by creating reusable collateral, best practices, and tools.

What You Need:

  • Bachelor's degree in Engineering, Data Analytics, Industrial Engineering, Computer Science, Mathematics, or a related STEM field.
  • Extensive internship experience or 1-3 years of full-time work experience.
  • Hands-on experience with at least one of the following: SQL, Microsoft Power BI, Tableau, or another data analytics solution.
  • A strong passion for technology, big data, and its transformative potential.
  • Excellent analytical and creative problem-solving skills, with the ability to apply technology to business challenges.
  • A customer-centric mindset with a focus on delivering value.
  • The ability to build relationships with senior management and influence decision-making.
  • Confidence in presenting to diverse audiences.
  • A proactive approach to problem-solving, with a willingness to learn from mistakes.
  • Curiosity, self-motivation, a commitment to continuous learning, and the desire to thrive in a fast-paced, high-growth environment.
  • Strong organizational skills with the ability to prioritize and execute on deadlines.
  • Excellent communication skills and fluency in English.

Bonus Points:

  • GPA of 3.6 or higher.
  • Degree in Computer Science or Data Scienceย or a similar field.
  • Degrees combining technical (e.g., Computer Science, Data Science) and business (e.g., Economics, Marketing) skills.
  • Experience with Python and Machine Learning.
  • Customer-facing, customer success/service, or sales experience.
  • Experience with Proof of Concept projects.
  • Supply Chain process experience (Procurement, Order Management, Inventory Management, Production).
  • Finance process experience (Accounts Payable, Accounts Receivable).
  • Experience modeling ROI and TCO for business case justification.
  • Experience with SAP and/or Oracle.
  • Fluency in French and/or Spanish.

Visa sponsorship is not offered for this role.