Intern Data Engineer - Data Services - 2027 at Louisiana… · Baton…

Summary: IBM helps organizations transform data into actionable insights, automate business processes, and use artificial intelligence through enterprise technology solutions. The Intern Data Engineer will support data engineering and AI initiatives by assisting with data pipelines, integration processes, modern data platforms, analytics, automation, and data quality activities while collaborating with cross-functional teams.

Responsibilities:
- Support data engineering services and AI initiatives that improve business performance, operational efficiency, and data-driven decision-making
- Assistwith 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 toidentifytrends, 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
- Assistwith 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

Required Qualifications:
- * 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, IBMSkillsBuild, student organizations, volunteer experiences, or other practical learning opportunities

Preferred Qualifications:
- * 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

Required Skills: Python, SQL, Java, ETL/ELT, Database Management, Data Processing, Data Transformation, Data Visualization, Machine Learning, Generative AI, Cloud Computing, Data Architecture

Internship Start Date: Start in 2027

Benefits: Hands-on experience helping organizations transform data and automate business processes, Exposure to modern data platforms, cloud technologies, automation, analytics, and AI, Collaboration with experienced IBM professionals, data specialists, engineers, AI specialists, business professionals, and technology experts, Mentorship, Structured learning, Hands-on project experiences, Access to AI-enabled tools, Professional development opportunities, Opportunities to participate in project meetings and workshops, Opportunities to build technical, analytical, problem-solving, communication, teamwork, and consulting skills