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Internship Startup Data Engineer Jobs in Arizona

Data Engineer

Tolleson, AZ

$112K - $135K/yr

Participate in startup and transformation initiatives that establish AMPS digital, reporting ... Bachelor's degree in Data Engineering, Computer Science, Information Systems, Industrial ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Participate in startup and transformation initiatives that establish AMPS digital, reporting ... Bachelor's degree in Data Engineering, Computer Science, Information Systems, Industrial ...

Data Engineer

Tolleson, AZ · On-site

$112K - $135K/yr

Participate in startup and transformation initiatives that establish AMPS digital, reporting ... Bachelor's degree in Data Engineering, Computer Science, Information Systems, Industrial ...

Data Engineer

Tolleson, AZ · On-site

$112K - $135K/yr

... startup operations, process improvement, and long-term business needs. • Partner with operations, supply chain, quality, finance, IT, and AMPS leadership to define data requirements, reporting ...

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Internship Startup Data Engineer information

What is the difference between Internship Startup Data Engineer vs Junior Data Analyst?

AspectInternship Startup Data EngineerJunior Data Analyst
Required CredentialsBasic programming, SQL, data managementStatistical knowledge, Excel, SQL
Work EnvironmentStartup, fast-paced, hands-on projectsCorporate or startup, data reporting and analysis
Employer & Industry UsageTech startups, data-driven companiesVarious industries, marketing, finance, retail
Search & Comparison IntentLearning, entry-level experience, internship opportunitiesData analysis skills, entry-level roles

Internship Startup Data Engineers focus on building data pipelines and managing data infrastructure, often requiring basic programming and SQL skills. Junior Data Analysts primarily analyze data, generate reports, and interpret results. Both roles are entry-level but differ in technical focus and daily tasks, with internships offering hands-on experience in startup environments and analyst roles emphasizing data interpretation.

What does an internship startup data engineer do?

An Internship Startup Data Engineer assists in building and maintaining data pipelines and architectures that help startups collect, process, and analyze data. They often work closely with engineers and data scientists to ensure data is accessible and reliable for business needs. Responsibilities may include cleaning and transforming raw data, working with databases, and helping implement data solutions in cloud environments. Interns are expected to learn quickly, adapt to fast-paced changes, and contribute to projects that impact the startup’s growth.

What types of projects and responsibilities can I expect as an internship startup data engineer?

As an Internship Startup Data Engineer, you'll typically work on a variety of hands-on projects such as building data pipelines, cleaning and transforming raw data, and assisting with setting up databases or cloud data solutions. You may collaborate closely with software engineers, data scientists, and product managers to support analytics initiatives or improve data infrastructure. Startups often provide interns with opportunities to take ownership of smaller projects and contribute directly to core products, offering valuable exposure to the full lifecycle of data engineering tasks. Expect a fast-paced environment where adaptability and proactive learning are highly valued.

What are the key skills and qualifications needed to thrive as an internship startup data engineer, and why are they important?

To excel as an Internship Startup Data Engineer, you typically need a background in computer science, statistics, or a related field, along with foundational knowledge in data structures and algorithms. Familiarity with programming languages like Python or SQL, experience with data processing frameworks (such as Pandas or Spark), and version control tools like Git are commonly required. Strong problem-solving abilities, adaptability, and effective communication skills will help you stand out in a dynamic startup environment. These skills are essential for efficiently managing and analyzing data to support rapid product development and informed decision-making in a fast-paced setting.
What are the most commonly searched types of Startup Data Engineer jobs in Arizona? The most popular types of Startup Data Engineer jobs in Arizona are:
What are popular job titles related to Internship Startup Data Engineer jobs in Arizona? For Internship Startup Data Engineer jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Internship Startup Data Engineer jobs? Cities in Arizona with the most Internship Startup Data Engineer job openings:
Infographic showing various Internship Startup Data Engineer job openings in Arizona as of June 2026, with employment types broken down into 40% Internship, and 60% Full Time. Highlights an 100% In-person job distribution.

$112K - $135K/yr

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Re-posted 25 days ago


Corning rating

8.2

Company rating: 8.2 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

87th of 536 rated manufacturers


Job description

Requisition Number: 74967

The company built on breakthroughs. 
Join us.           
             

Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what's possible. 

How do we do this? With our people. They break through limitations and expectations- not once in a career, but every day. They help move our company,and the world, forward. 

At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.

Come break through with us. 

Our Solar business delivers industry leading, U.S.-made solar components. We manufacture hyper-pure polysilicon, high-quality solar wafers, and innovative photovoltaic modules, leveraging our leadership in advanced manufacturing to serve growing energy demand. You will be a part of advancing critical U.S. supply chains and delivering unmatched quality and reliability to customers. 

Position Summary

The Manufacturing Data Engineer will play a key role in designing and establishing the data, reporting, and operational analytics foundation for AMPS in Tolleson, AZ. This role is focused on manufacturing operations, plant performance, and KPI/reporting development, and is responsible for identifying improvement opportunities and developing technical solutions that enable data-driven decision-making, process improvement, and operational excellence across manufacturing, warehouse, and business operations.

Working closely with AMPS leadership, functional teams, IT, and business stakeholders, the Data Engineer will help define data requirements, reporting strategy, KPI standards, and analytical solutions that support startup readiness and long-term performance.

Key Responsibilities
  • Identify opportunities to improve data visibility, reporting effectiveness, process performance, and business decision-making across AMPS operations, and translate business needs into practical technical solutions.
  • Design, develop, and implement data structures, dashboards, scorecards, KPI frameworks, and analytical solutions that support startup operations, process improvement, and long-term business needs.
  • Partner with operations, supply chain, quality, finance, IT, and AMPS leadership to define data requirements, reporting priorities, performance measures, and sustainable business rules across functions.
  • Support operational excellence initiatives by enabling root cause analysis, performance tracking, standardized metrics, and data-driven process improvements.
  • Help establish standards for data governance, data quality, reporting consistency, and reporting design to support scalable and reliable solutions.
  • Provide direction and recommendations on reporting strategy, technical design, and best practices to support cross-functional alignment and long-term sustainability.
  • Identify and resolve data-related issues across reports, data sources, and operational systems, and document key definitions, reporting logic, and KPI calculations to support consistency and knowledge transfer.
  • Participate in startup and transformation initiatives that establish AMPS digital, reporting, analytics, and process improvement capabilities.
Required Qualifications
  • Bachelor's degree in Data Engineering, Computer Science, Information Systems, Industrial Engineering, Business Analytics, or related field; or equivalent combination of education and relevant experience.
  • 3-7 years of experience in data engineering, business intelligence, analytics, reporting development, operational excellence, process improvement, or related technical roles.
  • Experience designing and implementing data structures, data models, reporting solutions, analytics frameworks, or performance measurement tools in a business environment.
  • Proficiency with SQL and experience with data querying, transformation, validation, and reporting or visualization tools such as Power BI, Tableau, SAP reporting tools, or similar platforms.
  • Experience working with ERP, manufacturing, warehouse, or operational systems.
  • Strong analytical, problem-solving, and technical troubleshooting skills, with the ability to communicate effectively across technical and non-technical teams.
  • Ability to manage multiple priorities and work effectively in a dynamic, startup environment. 
Preferred Qualifications
  • Experience supporting a new site startup, major implementation, or large-scale business transformation. 
  • Experience in a manufacturing, warehouse, supply chain, or plant environment, including work with SAP data, ERP reporting, or operational data environments. 
  • Experience with process improvement, KPI standardization, data governance, master data, reporting optimization, automation tools, or scripting languages such as Python. 
  • Exposure to Lean, Six Sigma, or other operational excellence methodologies. Knowledge, Skills, and Abilities 
  • Strong knowledge of data design, reporting strategy, performance measurement, and data management best practices. 
  • Ability to identify business needs, improve processes, develop technical solutions, and implement practical tools from concept through execution. 
  • Proficiency in Microsoft Office, especially Excel and PowerPoint. 
  • Ability to work independently and collaboratively while providing direction within cross-functional teams. 
Working Conditions 
  • Primarily office-based within a manufacturing or warehouse environment. 
Travel
  • Limited travel based on business need. Equal Employment Opportunity Corning is an equal opportunity employer and considers all qualified applicants for employment without regard to legally protected characteristics.

This position does not support immigration sponsorship.  


The range for this position is  $86,722.00 - $119,244.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. 

A job that shapes a life. 

Corning offers you the total package. 

Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one.

  • Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win.
  • As part of our commitment to your financial well-being, Corning provides company matching contributions to your 401(k) savings plan of up to 4% of pay when you contribute at least 6% of pay.
  • Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP) to support you and your family. 

We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.

Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact us at accommodations@corning.com.


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