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Reliability Engineer Intern Jobs in Encinitas, CA

Qeexo, Co.

Data Engineering Intern

San Clemente, CA

$25/hr

The Data Engineering Intern supports the development of scalable data systems and infrastructure ... reliability and performance ADDITIONAL RESPONSIBILITIES Create and maintain documentation ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA

$25/hr

The Data Engineering Intern supports the development of scalable data systems and infrastructure ... reliability and performance ADDITIONAL RESPONSIBILITIES Create and maintain documentation ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA · On-site

$25/hr

The Data Engineering Intern supports the development of scalable data systems and infrastructure ... in data reliability and performance ADDITIONAL RESPONSIBILITIES • Create and maintain ...

All JobsReliability Engineer Intern JobsReliability Engineer Intern Jobs in Encinitas, CA

Reliability Engineer Intern information

See Encinitas, CA salary details

$11

$20

$31

How much do reliability engineer intern jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for reliability engineer intern in Encinitas, CA is $20.75, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $22.45 per hour, depending on experience, location, and employer.

Is reliability engineering in demand?

Reliability engineering is in high demand across industries such as manufacturing, energy, and technology, as companies prioritize system uptime and safety. Reliability engineers often work with data analysis, failure modes, and maintenance strategies, making skills in these areas valuable in the job market.

What is the difference between Reliability Engineer Intern vs Maintenance Engineer?

AspectReliability Engineer InternMaintenance Engineer
CredentialsTypically pursuing or recent graduate in engineering or related fieldRelevant technical certifications or experience in maintenance
Work EnvironmentOffice and field, focusing on data analysis and reliability testingIndustrial or plant settings, performing repairs and preventive maintenance
Industry UsageUsed in manufacturing, energy, and industrial sectors for reliability projectsCommon in manufacturing, facilities management, and industrial plants
Search IntentComparing internship roles, entry-level opportunities, or career pathsLooking for maintenance roles, technical jobs, or career development

Reliability Engineer Interns focus on analyzing data, improving system reliability, and supporting reliability projects, often in an office or testing environment. Maintenance Engineers perform hands-on repairs and preventive maintenance in industrial settings. While both roles support operational efficiency, the intern role is more analytical and project-based, whereas the maintenance role is more technical and hands-on.

What does a reliability engineer intern do?

A Reliability Engineer Intern works under the guidance of experienced reliability engineers to analyze and improve the performance, durability, and safety of products or systems. Their tasks often include collecting and analyzing data on equipment failures, assisting in root cause analysis, and helping to develop maintenance plans or reliability testing procedures. Interns may also be involved in projects that focus on increasing the lifespan of equipment and minimizing downtime. This role provides hands-on experience with reliability tools and techniques, preparing interns for a career in reliability engineering.

What are the key skills and qualifications needed to thrive as a reliability engineer intern, and why are they important?

To thrive as a Reliability Engineer Intern, you need a solid grounding in engineering fundamentals, data analysis, and problem-solving, typically supported by progress toward a relevant engineering degree. Familiarity with reliability modeling tools, statistical analysis software like Minitab or MATLAB, and maintenance management systems is often expected. Strong attention to detail, effective communication, and teamwork skills help you collaborate with engineers and convey technical findings. These competencies are critical for identifying failure risks, improving system performance, and supporting organizational reliability goals.

What types of projects and responsibilities can a reliability engineer intern expect to handle during their internship?

As a Reliability Engineer Intern, you can expect to work closely with senior engineers on projects involving data analysis, equipment reliability assessments, and root cause investigations for equipment failures. Your daily tasks may include collecting and analyzing downtime data, assisting in preventive maintenance planning, and participating in team meetings to discuss ongoing reliability initiatives. Interns often have the opportunity to collaborate with cross-functional teams such as maintenance, operations, and engineering, gaining exposure to various aspects of plant operations. This hands-on experience provides valuable insight into the methods used to improve equipment performance and overall system reliability.

What cities near Encinitas, CA are hiring for Reliability Engineer Intern jobs?

Cities near Encinitas, CA with the most Reliability Engineer Intern job openings:

Reliability Engineer Intern jobs near you
Infographic showing various Reliability Engineer Intern job openings in Encinitas, CA as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $43,151 per year, or $20.7 per hour.

Data Engineering Intern

Qeexo, Co.

San Clemente, CA

$25/hr

Internship

Re-posted 5 days ago

Job description

TDK SensEI is transforming how sensor data is collected, processed, and leveraged powering intelligent, data-driven decision-making across

industrial environments. As a pioneer in automated machine learning for edge devices and a subsidiary of TDK Corporation, a global leader in sensor technology, SensEI operates at the forefront of industrial AI and analytics.

 The Data Engineering Intern supports the development of scalable data systems and infrastructure that power our machine learning-based

equipment monitoring platform. In this role, the intern will work with large-scale sensor datasets, cloud-based technologies, and modern data

pipelines, while collaborating closely with software and machine learning engineers to enable advanced analytics and AI applications.

This internship provides hands-on experience in building production-ready data systems within a fast-paced, innovative environment.

KEY RESPONSIBILITIES

Build, maintain, and optimize ETL/ELT pipelines for processing sensor and operational data

Develop data workflows and automation using Python, SQL, and AWS services 

Support data ingestion, transformation, validation, and monitoring processes 

Work with structured and semi-structured data from cloud and edge-based systems 

Collaborate with software and ML engineers to prepare datasets for analytics and machine learning models 

Assist with integration and optimization of OLTP and OLAP systems 

Troubleshoot pipeline issues and contribute to improvements in data reliability and performance

ADDITIONAL RESPONSIBILITIES

Create and maintain documentation, including data flows, system diagrams, and technical specifications 

Participate in code reviews and adhere to engineering best practices 

Support initiatives to improve data quality, observability, and operational efficiency 

Contribute to continuous improvement of data infrastructure and workflows

 

Other Duties:

Perform other related duties and ad hoc projects as assigned to support departmental and organizational goals.

Workplace Safety: Maintain awareness of and follow all workplace safety guidelines and promote a culture of well-being.

Quality and Compliance: Ensure work is performed in accordance with established quality control and assurance processes. 

Ethics and Integrity: Adhere to the company's Values and Code of Conduct and uphold the highest standards of honesty, integrity, and ethical behavior in all business activities.

QUALIFICATIONS

Education/Experience: 

 Currently pursuing a Bachelor's or Master's degree in: 

Computer Science

Data Engineering

Information Systems

or a related technical field

Hands-on experience with Python and SQL 

Exposure to data pipelines, ETL/ELT processes, or data warehousing concepts 

Familiarity with relational and/or analytical databases (e.g., PostgreSQL, MySQL, Redshift) 

Exposure to cloud platforms, preferably AWS 

 Knowledge/Skills/Abilities

Strong foundation in Python programming and SQL/database fundamentals 

Basic understanding of data engineering concepts, including pipelines, transformation, and storage 

Familiarity with cloud computing and distributed systems 

Analytical mindset with strong problem-solving capabilities 

Ability to quickly learn new tools, technologies, and frameworks 

Strong attention to detail and commitment to data accuracy and quality 

Effective communication skills, both written and verbal 

Ability to collaborate in cross-functional team environments

Preferred / Bonus Qualifications

  Experience with workflow orchestration tools (e.g., Apache Airflow)

Familiarity with AWS services such as S3, Lambda, Glue, or Redshift

Exposure to Docker, Linux, or shell scripting

Understanding of OLTP vs. OLAP systems

Experience with data lakes, data warehousing, or analytics platforms

Interest in machine learning and data-driven systems

Experience with Git or version control systems

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About Qeexo

Sourced by ZipRecruiter

Industry

It services

Company size

1 - 10 Employees

Headquarters location

Mountain View, CA, US

Year founded

2012

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