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Structural Engineer Internship Jobs in Columbus, OH

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Structural Engineer Internship information

See Columbus, OH salary details

$48.3K

$96K

$146.8K

How much do structural engineer internship jobs pay per year?

As of Sep 5, 2026, the average yearly pay for structural engineer internship in Columbus, OH is $96,010.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,300.00 and $109,100.00 per year, depending on experience, location, and employer.

What is a structural engineer internship?

A Structural Engineer Internship is a temporary position for students or recent graduates to gain hands-on experience in structural engineering. Interns assist with designing, analyzing, and inspecting buildings, bridges, and other structures under the supervision of experienced engineers. They may use software tools like AutoCAD, Revit, or SAP2000 to create models and perform calculations. The internship helps develop technical skills, industry knowledge, and practical problem-solving abilities. It also provides networking opportunities and potential career pathways in structural engineering.

What types of projects or tasks can I expect to work on as a structural engineer intern?

As a Structural Engineer Intern, you can expect to contribute to a variety of tasks, such as drafting design drawings, performing structural calculations, assisting with site inspections, and helping review project plans for compliance with safety standards. You'll work closely with experienced engineers and project managers, gaining hands-on experience in both office and sometimes field settings. This role is designed to help you develop practical skills while learning how structural engineering concepts are applied in real-world projects. Interns often have opportunities to participate in team meetings, interact with other disciplines, and receive mentorship to support their professional growth.

What are the key skills and qualifications needed to thrive in the structural engineer internship position, and why are they important?

To thrive as a Structural Engineer Intern, you need a solid background in civil or structural engineering principles, typically gained through coursework in an accredited engineering program. Familiarity with design software such as AutoCAD, Revit, or SAP2000, along with basic knowledge of building codes and standards, is often expected. Effective communication, problem-solving abilities, and a willingness to learn from experienced engineers are valuable soft skills for excelling in this position. These abilities ensure accuracy in technical work, facilitate productive team collaboration, and support the intern’s growth into a competent engineering professional.

Is there a demand for structural engineer interns?

There is consistent demand for structural engineer interns as construction and infrastructure projects grow, and firms seek interns to support engineering design, analysis, and project planning. Internships provide valuable experience with CAD software and structural analysis tools, making them a common entry point for aspiring structural engineers. The demand varies by region and industry activity levels but generally remains steady in the engineering field.

What do structural engineer interns do?

Structural engineer interns assist in analyzing building designs, preparing drawings, and conducting site inspections under the supervision of licensed engineers. They gain experience with design software like AutoCAD and learn about safety standards, construction processes, and structural analysis. Internships typically involve supporting project teams and developing technical skills relevant to structural engineering.

What are the most commonly searched types of Structural Engineer jobs in Columbus, OH?

The most popular types of Structural Engineer jobs in Columbus, OH are:

What are popular job titles related to Structural Engineer Internship jobs in Columbus, OH?

For Structural Engineer Internship jobs in Columbus, OH, the most frequently searched job titles are:

What job categories do people searching Structural Engineer Internship jobs in Columbus, OH look for?

The top searched job categories for Structural Engineer Internship jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Structural Engineer Internship jobs?

Cities near Columbus, OH with the most Structural Engineer Internship job openings:

Structural Engineer Internship jobs near you
Infographic showing various Structural Engineer Internship job openings in Columbus, OH as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $96,010 per year, or $46.2 per hour.

Associate Data/ Metadata Analyst

Management Institute of Canada

Dublin, OH • Hybrid

Full-time

Medical, Retirement

Posted 25 days ago

Key responsibilities

  • Manage the lifecycle of bibliographic and holdings data, including ingestion, normalization, enrichment, and matching.

  • Profile incoming data to identify and resolve structural issues, encoding errors, and tagging discrepancies, and troubleshoot data quality issues.

  • Apply existing scripts and automated workflows to process data, monitor data quality trends using dashboards, and utilize AI-assisted tools for record matching and field mapping.

Job description

Together we make breakthroughs possible.

At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and other technologies that connect people and organizations to the information they need. We value the power of unique perspectives and experiences to unlock innovation. At OCLC, your ideas matter, whether you have two years of experience or 20. You'll learn, create, and problem-solve with technologists, product developers, librarians, researchers, marketing pros, and support teams around the world.

Why join OCLC?

OCLC is consistently recognized as a best place to work by several independent programs. Werecognize and reward people and results with a comprehensive Total Rewards package. This means competitive compensation that reflects your unique contributions-performance, experience, and skills-along with exceptional benefits, including best-in-class health coverage, retirement plans with generous company contributions, and a commitment to your overall well-being.

  • We know the best ideas don't always happen at a desk. Take a walking meeting around our 100-acre campus or enjoy lunch on the patio. We're committed to your success-both personally and professionally. Hybrid work environment: For many roles, three days a week on-site, with occasional additional days based on business needs.

  • Free use of our on-site tness center, gym sports, group exercise classes, and game room

  • Onsite catering and cafeteria subsidized by OCLC

  • Health and wellness events

  • Work environments with individual and team spaces and the latest technology tools

  • Paid parental leave and adoption assistance

  • Tuition reimbursement and Public Service Loan Forgiveness eligibility

  • Company-subsidized pricing on local tickets and memberships

Join us in transforming how people everywhere access information and be part of a mission-driven team that makes a global impact.

The job details are as follows:The Associate Data Analyst/Metadata Analyst manages the lifecycle of bibliographic and holdings data, ensuring accuracy and integrity through evaluation, transformation, and maintenance. This entry-level role combines metadata expertise with developing technical skills in scripting, automation, and AI-assisted workflows. Working under regular supervision, the Associate will transition from executing well-defined tasks to taking ownership of complex data projects. This is an opportunity to develop expertise at the intersection of library data, modern data engineering, and emerging AI - in a team that invests in the growth of its people.Responsibilities:Data Operations & Quality
  • Data Lifecycle Management:Perform data ingest, normalization, enrichment, and matching according to established standards (e.g., MARC, KBART).
  • Quality Assessment:Profile incoming data to identify and resolve structural issues, encoding errors, and tagging discrepancies.
  • Troubleshooting:Investigate and resolve data quality issues, escalating complex problems to senior staff as needed.
  • Vendor Communication:Coordinate with external data providers and partner institutions regarding routine data specifications and quality issues.
Technical Solutions & Automation
  • Pipeline Support:Apply existing scripts and automated workflows to process data; identify inefficiencies and suggest process improvements.
  • Data Visualization:Use and interpret dashboards (e.g., Power BI) to monitor data quality trends and communicate findings.
  • AI Integration:Utilize AI-assisted tools for record matching and field mapping; contribute structured feedback that helps improve AI model accuracy over time.
Collaboration & Documentation
  • Knowledge Management:Document data source profiles, processing decisions, and technical workflows to ensure team-wide knowledge sharing.
  • Team Support:Execute foundational tasks to support senior analysts and participate in platform improvement projects.
Minimum Required Knowledge, Skills and Experience:
  • Bachelor's degree in computer science, math, statistics, or related field and internship experience with data analysis or creation of library data.
  • Entry-level analytical and communication skills, with attention to data quality while working under regular supervision.
Preferred Knowledge, Skills and Experience:
  • Metadata Standards:Foundational knowledge of MARC, Dublin Core, KBART, or BIBFRAME.
  • Technical Tools:Exposure to scripting languages (Python, SQL, or XSLT) and data transfer protocols (SFTP, APIs, or AWS S3).
  • Data Platforms:Conceptual familiarity with cloud data stores (e.g., Snowflake) and visualization tools (e.g., Power BI, Streamlit).
  • Emerging Tech:Interest in applying AI and linked data concepts (e.g.,Schema.org) to library data challenges.
Working Conditions: Normal office environment.ADA/EAA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.

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