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Data Automation Internship Jobs in Arizona (NOW HIRING)

... of data and the application of sound engineering practices. This individual should have a ... Ensure all automation is working properly and to its full extent to maximize return on investment.

... of data and the application of sound engineering practices. This individual should have a ... Ensure all automation is working properly and to its full extent to maximize return on investment.

... of data and the application of sound engineering practices. This individual should have a ... Ensure all automation is working properly and to its full extent to maximize return on investment.

Senior Software Engineer

Phoenix, AZ · On-site

$129 - $245/hr

With an emphasis on security, reliability, automation, and operational excellence. Working closely ... Build and maintain distributed systems including APIs, microservices, data services, and job ...

Heitek Automation, a SunSource company, is a leading provider of industrial automation components ... Internship or co-op experience in a sales/distribution or manufacturing environment is a plus.

Heitek Automation, a SunSource company, is a leading provider of industrial automation components ... Internship or co-op experience in a sales/distribution or manufacturing environment is a plus.

Showing results 41-60

Data Automation Internship information

What is a data automation internship?

A Data Automation Internship is a temporary position, often for students or recent graduates, where you assist organizations in streamlining and automating data processes. Interns typically work with tools and programming languages like Python, SQL, or R to create scripts, workflows, or dashboards that reduce manual data handling. The internship provides hands-on experience with data management, automation tools, and process optimization, helping you develop practical skills for a career in data analysis or engineering. These roles often involve collaborating with data analysts, engineers, and other team members to identify opportunities for automation and improve data efficiency.

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

To thrive as a Data Automation Intern, you need a solid understanding of data analysis, programming (often Python, SQL), and basic knowledge of automation concepts, usually backed by coursework in computer science or a related field. Familiarity with data visualization tools, workflow automation platforms (like Alteryx or UiPath), and version control systems such as Git is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns solve problems and collaborate on team projects. These abilities ensure efficient data processes, accurate results, and seamless integration with broader data initiatives.

What are some common challenges faced during a data automation internship, and how can interns effectively overcome them?

During a Data Automation Internship, common challenges include working with unfamiliar automation tools, ensuring data quality, and integrating automated workflows with existing systems. Interns can effectively overcome these by actively seeking guidance from team members, participating in code reviews, and dedicating time to learn the organization's preferred technologies. Regular communication with mentors and asking clarifying questions early helps resolve issues quickly and fosters a supportive learning environment.

What is the difference between Data Automation Internship vs Data Analyst?

AspectData Automation InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields; often requires some experience
Work EnvironmentInternship setting, often in tech or finance companies, focusing on automation projectsFull-time role in various industries, analyzing data to inform business decisions
Employer & Industry UsageUsed by companies developing automated data pipelines and toolsCommon in finance, marketing, healthcare, and other data-driven sectors

While a Data Automation Internship focuses on gaining hands-on experience in automating data processes, a Data Analyst is responsible for interpreting data, creating reports, and supporting decision-making. Internships are entry-level and temporary, whereas Data Analyst roles are more permanent and require a broader skill set.

What are the most commonly searched types of Data Automation jobs in Arizona?

The most popular types of Data Automation jobs in Arizona are:

What are popular job titles related to Data Automation Internship jobs in Arizona?

For Data Automation Internship jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Data Automation Internship jobs in Arizona look for?

The top searched job categories for Data Automation Internship jobs in Arizona are:

Infographic showing various Data Automation Internship job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Engineer I, Inspection Technology

LG Energy Solution Arizona

Queen Creek, AZ

Full-time

Re-posted 10 days ago


Job description

Job Summary: 

The Inspection Technology Engineer I supports the implementation, validation, and continuous improvement of automated inspection systems used in cylindrical lithium-ion battery cell manufacturing. This role focuses on ensuring inspection systems operate reliably, detect defects accurately, and support safe, high-volume production for EV battery applications.

The role is hands-on and highly collaborative, working closely with Production, Quality Assurance, Equipment Engineering, and EHS teams in a fast-paced environment. The engineer will gain exposure to vision systems, X-ray inspection, metrology, and automated electrical test systems across electrode, assembly, and formation processes.

Responsibilities:

Support inspection, manufacturing, or automation processes on the production floor.

Assist with setup, validation, and optimization of inspection and production equipment.

Analyze basic process and inspection data to support yield and quality improvements.

Support troubleshooting of equipment and process-related issues under guidance.

Participate in new model introductions and process change activities.

Follow SOPs, work instructions, and engineering standards.

Collaborate with technicians, engineers, and cross-functional teams.

Support documentation, reporting, and continuous improvement activities.

Qualifications:

Bachelor's degree in Engineering (Mechanical, Electrical, Industrial, Manufacturing, or related field).

1+ years of experience in a manufacturing or industrial environment (internship or co-op acceptable).

Basic understanding of manufacturing processes and quality concepts.

Fundamental understanding of automated equipment or inspection systems.

Knowledge of machine vision algorithm libraries (Halcon, OpenCV) and deep learning models.

Exposure to maintenance of in-line inspection systems (Machine Vision, 3D metrology, X-ray and CT).

Understanding of measurement system analysis (MSA) and gage R&R using Minitab.

Skills:

Basic data analysis skills.

Problem-solving mindset with willingness to learn.

Strong communication and teamwork skills.

Ability to follow procedures and engineering standards.

Basic technical documentation skills.