2024 Summer IT Data Engineering Intern

Cleveland, OH, US, 44117

Lincoln Electric

Lincoln Electric is the world leader in the design, development and manufacture of arc welding products, automated joining, assembly and cutting systems, plasma & oxy-fuel cutting equipment.

View company page

Lincoln Electric is the world leader in the engineering, design, and manufacturing of advanced arc welding solutions, automated joining, assembly and cutting systems, plasma and oxy-fuel cutting equipment, and has a leading global position in brazing and soldering alloys. Lincoln is recognized as the Welding Expert™ for its leading materials science, software development, automation engineering, and application expertise, which advance customers' fabrication capabilities to help them build a better world. Headquartered in Cleveland, Ohio, Lincoln Electric is a $4.2B publicly traded company (NASDAQ:LECO) with over 11,000 employees around the world, with operations in 71 manufacturing and automation system integration locations across 21 countries and maintains a worldwide network of distributors and sales offices serving customers in over 160 countries.

 

 Location: Euclid - 22801 - Cleveland, OH, United States (US)
Employment Status: Hourly Full-Time
Function: Research & Development
Pay Range:  ($37,440.00 - $42,640.00)
Target Bonus: [[targetBonusPercentage]]%
Req ID: 24512 

 

 

Role Summary: 

As a Data Engineering Summer Intern, you will play a crucial role in digitizing our manufacturing environment. You’ll work closely with our data engineering team to integrate PLC (Programmable Logic Controller) data into reporting tools such as Azure and Power BI. This position is data-oriented, and you’ll have the opportunity to analyze big data to drive informed decision-making. If you’re passionate about data science, pipelines, interfaces, and industrial data, this internship is an excellent fit for you.

Responsibilities:

  • Collaborate with the data engineering team to design and implement data pipelines.
  • Integrate PLC data from manufacturing processes into reporting and visualization tools.
  • Work with Azure and Power BI to create insightful dashboards and reports.
  • Analyze large datasets to identify trends, patterns, and opportunities for process optimization.
  • Assist in developing machine learning models for predictive maintenance and quality improvement.
  • Participate in cross-functional projects related to IT/OT (Information Technology/Operational Technology) data integration.

Qualifications:

  • Pursuing a Bachelor of Science degree in one of the following majors: Data Science, Computer Engineering, Computer Science, or equivalent.
  • Minimum overall GPA of 3.0.
  • Ability to work in the United States on a full-time, permanent basis.
  • Desire to work in a manufacturing environment.

Additional Benefits:

  • Networking opportunities: Connect with experienced professionals and mentors.
  • Community engagement: Participate in community service projects.
  • Professional development: Gain hands-on experience and learn from industry experts.

Join us at The Lincoln Electric Company and contribute to shaping the future of data-driven manufacturing! Apply now

 

 

Lincoln Electric is an Equal Opportunity Employer. We are committed to promoting equal employment opportunity for applicants, without regard to their race, color, national origin, religion, sex (including pregnancy, childbirth, or related medical conditions, including, but not limited to, lactation), sexual orientation, gender identity, age, veteran status, disability, genetic information, and any other category protected by federal, state, or local law.

Apply now Apply later
  • Share this job via
  • or

Tags: Azure Big Data Computer Science Data pipelines Engineering Industrial Machine Learning ML models Pipelines Power BI Predictive Maintenance R&D Research

Perks/benefits: Career development

Region: North America
Country: United States
Job stats:  19  4  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.