Intern Data Engineer – Data Services – 2027

IBM; United States; On-site; USD 25,000 - 34,000; Part time

Job summary

IBM in Monroe, LA is seeking an Intern Data Engineer within the IBM Consulting FutureNow Center. You will gain hands-on experience turning data into insights, building scalable data pipelines, and exploring AI-driven solutions under experienced mentors.

This role targets students pursuing a Bachelor's degree in Computer Science, Data Science, or related fields. May–July 2027, 10 weeks, with opportunities to learn, collaborate, and grow toward a potential full-time career at IBM.

Qualifications

• Pursuing a Bachelor’s degree in a related field.
• Strong foundation in programming and data concepts.
• Basic understanding of Python, SQL, Java.
• Exposure to data engineering, analytics, or AI concepts.
• Interested in enterprise data platforms and cloud technologies.

Responsibilities

• Assist with designing, building, testing, and maintaining data pipelines and data integration processes.
• Contribute to data preparation, transformation, validation, and quality activities.
• Analyze structured and unstructured data to identify trends and insights.
• Collaborate with cross-functional teams while gaining exposure to cloud platforms and enterprise data architectures.
• Support data engineering and analytics solutions and learn from IBM professionals.
• Participate in project meetings, workshops, and professional development.
• Build communication, teamwork, and consulting skills.

Skills

Python

SQL

Java

Data pipelines

Education

High School Diploma/GED

Bachelor’s Degree

Tools

ETL/ELT

Cloud platforms

Databases

Job description

Introduction

As an IBM Consulting FutureNow Center Intern, you’ll work alongside experienced professionals to help solve real business and technology challenges for clients around the world. You’ll gain hands‑on experience, build in‑demand technical and professional skills, and contribute to meaningful projects while learning in a collaborative, team‑based environment.

This internship is designed to provide meaningful, hands‑on experience that prepares students for a potential full‑time career with IBM Consulting upon graduation.

In this role, you’ll work in one of our IBM Consulting FutureNow Centers, where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Your Role and Responsibilities

As an Intern Data Engineer at IBM, you’ll gain hands‑on experience helping organizations transform data into actionable insights, automate business processes, and unlock the power of Artificial Intelligence (AI) through enterprise technology solutions. You’ll work alongside experienced IBM professionals while developing practical technical, analytical, and problem‑solving skills that prepare you for a future career in data engineering, Artificial Intelligence, and enterprise consulting.

As part of this opportunity, you will be aligned to the following practice:

AI, Analytics, Automation & Data Services

— focused on helping organizations modernize data platforms, build scalable data pipelines, enable advanced analytics, automate business processes, and develop AI‑driven solutions that improve business performance and decision‑making.

Data is the foundation of Artificial Intelligence and digital transformation. During your internship, you’ll gain exposure to how organizations use modern data platforms, cloud technologies, automation, analytics, and AI to solve complex business challenges and deliver meaningful business outcomes.

No two projects are exactly alike; you may contribute to projects supporting clients across industries including healthcare, financial services, retail, manufacturing, government, energy, and more.

Throughout your internship, you’ll collaborate with experienced data specialists and engineers, AI specialists, business professionals, and technology experts while learning how organizations solve complex business challenges through enterprise data and AI solutions. Through mentorship, structured learning, hands‑on project experiences, and AI‑enabled tools, you’ll strengthen your technical capabilities, analytical thinking, and professional skills while building a strong foundation for a future career at IBM.

During your internship, you may have opportunities to:

• Support data engineering services and AI initiatives that improve business performance, operational efficiency, and data‑driven decision‑making.
• Assist with designing, building, testing, and maintaining data pipelines, data integration processes, and modern data platforms.
• Contribute to data preparation, transformation, validation, and quality activities that support analytics, automation, and Artificial Intelligence solutions.
• Analyze structured and unstructured data to identify trends, generate insights, and support business decision‑making.
• Collaborate with cross‑functional business and technology teams while gaining exposure to cloud platforms, enterprise data architectures, analytics, and AI technologies.
• Assist with testing, validating, and supporting data engineering and analytics solutions while learning how organizations build trusted, scalable data environments.
• Participate in project meetings, workshops, and professional development opportunities while building communication, teamwork, and consulting skills.

To give yourself the best opportunity for success, we advise applying only to roles that align with your skills and experience, rather than applying broadly across all entry‑level positions. You’ll receive a status update email for each application, so be sure to check your IBM Careers account regularly – it’s the best way to get a centralized view of which roles you have active applications against.

The primary internship program dates are May to July 2027 (10 weeks).

Required Education

High School Diploma/GED

Preferred Education

Bachelor’s Degree

Required Technical and Professional Expertise

• Currently pursuing a Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, Analytics, or a related field.
• Interest in data engineering, Artificial Intelligence, analytics, automation, cloud technologies, or digital transformation concepts.
• Basic understanding of programming concepts and experience with languages such as Python, SQL, Java, or similar technologies.
• Basic understanding of databases, data structures, data processing, analytics, and how data supports business decision‑making.
• Exposure to data preparation, transformation, visualization, analytics, or business problem‑solving through coursework, academic projects, research, hackathons, student organizations, or personal learning.
• Awareness of Artificial Intelligence, Machine Learning, Generative AI, and emerging technologies, along with their impact on business and digital transformation.
• Experience gained through academic projects, internships, research, hackathons, certifications, IBM SkillsBuild, student organizations, volunteer experiences, or other practical learning opportunities.

You don’t need to be an expert to get started. We’re looking for individuals with a strong foundation, a growth mindset, and a desire to learn and make an impact.

Bring your curiosity. Grow your skills. Build what’s next – like an IBMer.

Preferred Technical and Professional Experience

• Exposure to data engineering, analytics, automation, Artificial Intelligence, cloud technologies, or enterprise data platforms through coursework, student projects, research, hackathons, or internship experiences.
• Familiarity with databases, SQL, ETL/ELT concepts, data visualization tools, cloud platforms, machine learning workflows, or modern data architectures.
• Interest in Artificial Intelligence, Generative AI, data‑driven decision‑making, consulting, and continuous learning.
• Ability to collaborate effectively with teammates while supporting data modernization, analytics, and enterprise AI transformation initiatives.

About Business Unit

IBM Consulting is IBM’s consulting and global professional services business, with market‑leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners, and the planet.

Your Life @ IBM

In a world where technology never stands still, we understand that dedication to our clients’ success, innovation that matters, and trust and personal responsibility in all our relationships live in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment every day, all while having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth‑minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide ongoing feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team‑focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions every day is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can‑do attitude, and always striving for an outcome‑focused approach within everything that they do.

Are you ready to be an IBMer?

About IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason, and science, we can improve business, society, and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing, and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Other Relevant Job Details

Supplemental 1 employees may be eligible for up to 8 paid holidays, a minimum of 56 hours paid sick time, and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 15 days from this date or less if not needed to fill the role. We consider qualified applicants with criminal histories, consistent with applicable law.

IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

The compensation range and benefits for this position are based on a full‑time schedule for a full calendar year. The salary will vary depending on your job‑related skills, experience, and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part‑time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro‑rated for those who start working during the calendar year.

Locations

MONROE, Louisiana, United States