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Pipeline Engineer Intern Jobs (NOW HIRING)

As a Security Engineer Intern, you will help design, build, and automate controls that protect our ... Contribute to secure-by-default developer workflows (pre-commit hooks, SAST/DAST pipelines ...

... AI-native engineering intern to join us for the summer. You'll ship real features alongside the ... LLM pipelines, agents, retrieval systems, evaluation frameworks, or prompt optimization (depending ...

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Build and maintain data pipelines, including preprocessing and quality checks. * Support testing ...

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Pipeline Engineer Intern information

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$11

$19

$29

How much do pipeline engineer intern jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for pipeline engineer intern in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Pipeline Engineer Intern, and why are they important?

To thrive as a Pipeline Engineer Intern, you need a solid understanding of engineering principles, basic knowledge of pipeline systems, and pursuit of a relevant degree such as civil, mechanical, or petroleum engineering. Familiarity with CAD software, GIS tools, and industry codes or standards is often expected, and internships may favor candidates with introductory certifications in safety or engineering fundamentals. Strong analytical thinking, attention to detail, effective communication, and eagerness to learn make candidates stand out. These skills are critical to ensuring safe, efficient pipeline operations and successful collaboration within project teams.

What types of projects and tasks can a Pipeline Engineer Intern expect to work on during their internship?

As a Pipeline Engineer Intern, you can expect to work on a variety of tasks that support the design, analysis, and maintenance of pipeline systems. Typical responsibilities may include assisting with drafting and reviewing technical drawings, performing calculations for pipeline flow and pressure, supporting field inspections, and helping ensure compliance with safety and environmental regulations. You’ll often collaborate closely with experienced engineers, construction teams, and other interns, gaining hands-on experience with industry-standard software and project workflows. This internship provides a solid foundation for understanding the full lifecycle of pipeline projects and offers opportunities to build technical and teamwork skills.

What is the difference between Pipeline Engineer Intern vs Pipeline Engineer?

AspectPipeline Engineer InternPipeline Engineer
CredentialsEnrolled in or recent graduate of engineering or related programBachelor's degree in Civil, Mechanical, or Petroleum Engineering; Professional Engineer (PE) license often preferred
Work EnvironmentInternship setting, assisting with design, maintenance, and monitoring tasksFull-time professional role, responsible for planning, designing, and overseeing pipeline projects
Employer & Industry UsageInternships offered by engineering firms, energy companies, and construction firmsFull-time positions in oil & gas, energy, and infrastructure industries

The main difference between a Pipeline Engineer Intern and a Pipeline Engineer is experience and responsibility level. Interns are typically students or recent graduates gaining practical experience, while Pipeline Engineers are fully responsible for pipeline design, safety, and project management.

What does a Pipeline Engineer Intern do?

A Pipeline Engineer Intern assists in the design, construction, and maintenance of pipelines that transport oil, gas, water, or other materials. Their responsibilities often include supporting senior engineers with technical calculations, preparing project documentation, and conducting site visits to monitor progress. Interns may also help ensure compliance with safety and environmental regulations, and use software tools for modeling and analysis. This role provides hands-on experience and helps interns develop a deeper understanding of the pipeline industry.
More about Pipeline Engineer Intern jobs
What cities are hiring for Pipeline Engineer Intern jobs? Cities with the most Pipeline Engineer Intern job openings:
What are the most commonly searched types of Pipeline Engineer jobs? The most popular types of Pipeline Engineer jobs are:
What states have the most Pipeline Engineer Intern jobs? States with the most job openings for Pipeline Engineer Intern jobs include:
Infographic showing various Pipeline Engineer Intern job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.
Software Engineer Intern - Machine Learning Workflow

Software Engineer Intern - Machine Learning Workflow

Halo Industries, Inc.

Santa Clara, CA

Temporary

Posted 8 days ago


Job description

The Company


Halo Industries has invented a revolutionary technology to replace a decades-old semiconductor material slicing process. Our laser-based technology eliminates waste, improves material cost and performance, and drives advancements in high-growth markets like automotive, telecommunications, and power electronics. Founded in 2014 at Stanford University, Halo secured significant funding in 2024 and is poised for rapid growth, engaging strategic customers and preparing for volume manufacturing.

The Opportunity

We are looking for a Machine Learning Operations Intern to support data preparation, labeling, training workflows, and validation processes for machine learning systems. The role focuses on executing and monitoring existing ML pipelines, organizing datasets, and helping evaluate model performance.

The intern will work with internal tools and workflows using Python and C#, with guidance from experienced engineers. This position is ideal for someone interested in practical machine learning systems and hands-on experience with real-world data workflows.

Responsibilities
  • Label and organize datasets for machine learning workflows.
  • Run and monitor training and validation pipelines.
  • Assist with evaluating model outputs and identifying data quality issues.
  • Use Python and C# tools to support ML-related workflows and automation.
  • Help troubleshoot pipeline failures and data inconsistencies.
  • Document datasets, experiments, and validation results.
  • Collaborate with engineers to improve workflow efficiency and reliability.
What This Role Offers
  • Hands-on experience with real-world machine learning workflows.
  • Exposure to production ML training and validation systems.
  • Experience working with Python and C# in applied engineering environments.

Requirements

Basic Qualifications
  • Currently pursuing or a recent graduate with a Bachelor`s in Software Engineering, Computer Science, Computer Engineering, or related field.
  • Basic programming experience in Python or C#.
  • Experience working with structured workflows and large datasets.
  • Proficiency to debug simple technical issues and follow documented processes.
Preferred Qualifications
  • Currently pursuing or a recent graduate with a Master`s in Software Engineering, Computer Science, Computer Engineering, or related field.
  • Exposure to machine learning concepts or workflows.
  • Familiarity with Git or collaborative development tools.
  • Experience working with datasets, annotation tools, or automation scripts.

Benefits

Salary Range : 20 - 30 USD per hour.