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Data Engineer Internship Amazon Jobs in Arizona (NOW HIRING)

Clayco

Project Engineer - New College Grad

Phoenix, AZ

$62K - $80K/yr

Project Engineer internship experience or related internship. * Field experience desirable ... Data Center Contractor (Top 3). * 2025 ENR Top 100 Design-Build Firms - Design-Build Contractor ...

Clayco

Project Engineer - New College Grad

Phoenix, AZ · On-site

$62K - $80K/yr

Project Engineer internship experience or related internship. * Field experience desirable ... Data Center Contractor (Top 3). * 2025 ENR Top 100 Design-Build Firms - Design-Build Contractor ...

Clayco

Project Engineer - New College Grad

Phoenix, AZ · On-site

$62K - $80K/yr

Project Engineer internship experience or related internship. * Field experience desirable ... Data Center Contractor (Top 3). * 2025 ENR Top 100 Design-Build Firms - Design-Build Contractor ...

Clayco

Project Engineer - New College Grad

Phoenix, AZ · On-site

$62K - $80K/yr

Project Engineer internship experience or related internship. * Field experience desirable ... Data Center Contractor (Top 3). * 2025 ENR Top 100 Design-Build Firms - Design-Build Contractor ...

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How much do data engineer internship amazon jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for data engineer internship amazon in Arizona is $23.69, according to ZipRecruiter salary data. Most workers in this role earn between $19.28 and $26.88 per hour, depending on experience, location, and employer.

What does a data engineer intern do at Amazon?

A Data Engineer Intern at Amazon works on designing, building, and maintaining scalable data pipelines and systems to support business analytics and decision-making. Interns typically collaborate with experienced data engineers and other team members to process large datasets, ensure data quality, and optimize performance. They may also help automate data collection, transformation, and storage processes, gaining hands-on experience with Amazon's cloud technologies and big data tools. The internship offers an opportunity to develop technical skills in databases, programming, and data modeling in a real-world, fast-paced environment.

What are the key skills and qualifications needed to thrive as a data engineer intern at Amazon?

To thrive as a Data Engineer Intern at Amazon, you need a solid understanding of data structures, algorithms, and proficiency in programming languages such as Python, Java, or Scala, often supported by progress towards a degree in computer science or a related field. Familiarity with SQL, cloud platforms (especially AWS), and big data tools like Hadoop or Spark is typically required. Strong problem-solving skills, eagerness to learn, and effective communication help interns collaborate and adapt in a fast-paced environment. These skills and qualities are crucial to efficiently manage data pipelines, contribute to impactful projects, and succeed within Amazon’s data-driven culture.

What types of projects and technologies do data engineer interns at Amazon typically work with?

As a Data Engineer Intern at Amazon, you can expect to work on projects involving large-scale data pipelines, data warehousing, and analytics solutions. Interns often gain hands-on experience with Amazon Web Services (AWS) tools such as Redshift, S3, and Glue, as well as programming languages like Python and SQL. You'll collaborate closely with software engineers, data scientists, and business analysts to design and optimize data systems that support Amazon's business operations. This role provides a strong foundation in both the technical and collaborative aspects of data engineering, offering ample learning opportunities in a fast-paced, innovative environment.

What is the difference between Data Engineer Internship Amazon vs Data Analyst Internship Amazon?

AspectData Engineer Internship AmazonData Analyst Internship Amazon
Required SkillsSQL, Python, ETL, data modelingSQL, Excel, data visualization tools
Work EnvironmentData pipelines, backend systems, cloud platformsData reporting, dashboards, business insights
Industry UsageTech, e-commerce, cloud servicesBusiness, marketing, finance

Both internships are common in Amazon's data teams but focus on different aspects. Data Engineer Internships involve building and maintaining data infrastructure, while Data Analyst Internships focus on analyzing data to generate insights. Candidates should choose based on their technical skills and career interests.

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

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

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Cities in Arizona with the most Data Engineer Internship Amazon job openings:

Data Engineer Internship Amazon jobs near you

Project Engineer - New College Grad

Clayco

Phoenix, AZ

$62K - $80K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

Clayco rating

8.6

Company rating: 8.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

About Us

Clayco is a full-service, turnkey real estate development, master planning, architecture, engineering, and construction firm that safely delivers clients across North America the highest quality solutions on time, on budget, and above and beyond expectations. With $8.1 billion in revenue for 2025, Clayco specializes in the "art and science of building," providing fast track, efficient solutions for mission critical, industrial, life sciences, power & energy, aviation, commercial, institutional, residential and sports & entertainment related building projects.

The Role We Want You For

The construction Project Engineer will be based on the construction project site and will service our clients in a multi-state region and may even travel across the country. You will have the opportunity to build large, complicated, iconic design-build projects $30 million and above. In this role you will be part of a team responsible for taking projects from conceptual stages through closeout.

The Specifics of the Role

  • Build client and subcontractor relationships.
  • Team with Architects, Engineers, and Planners to create and manage a design schedule.
  • Assist in the establishment of project forecasts and budgets.
  • Manage costs.
  • Accept responsibility for project execution.
  • Mentor and develop Interns and new incoming project management staff.

Requirements

  • Bachelor’s Degree in Construction Management, Engineering, Architecture, or related.
  • Project Engineer internship experience or related internship.
  • Field experience desirable.
  • Demonstrated knowledge of construction principles, practices, and technology.
  • Previous experience on a successful project management team.
  • Ability to walk a job site, climb ladders, and scale multi-floor scaffolding.
  • Ability to lift objects of at least 50 lbs.

Some Things You Should Know

  • This position will service our clients in Phoenix, AZ.
  • No other builder can offer the collaborative design-build approach that Clayco does.
  • We work on creative, complex, award-winning, high-profile jobs.
  • The pace is fast!
  • This position is classified as a safety-sensitive role in accordance with applicable state and federal laws. Candidates selected for this position will be subject to a comprehensive background check, which includes mandatory drug testing.

Why Clayco?

  • 2025 Best Places to Work – St. Louis Business Journal, Los Angeles Business Journal, and Phoenix Business Journal.
  • 2025 ENR Top 400 – Top Data Center Contractor (Top 3).
  • 2025 ENR Top 100 Design-Build Firms – Design-Build Contractor (Top 5).
  • 2025 ENR Top 100 Green Contractors – Green Contractor (Top 3).

Benefits

  • Discretionary Annual Bonus: Subject to company and individual performance.
  • Comprehensive Benefits Package Including: Medical, dental and vision plans, 401k, generous PTO and paid company holidays, employee assistance program, flexible spending accounts, life insurance, disability coverage, learning & development programs and more!

Compensation

  • The salary range for this position considers a wide range of factors in making compensation decisions including but not limited to: Education, qualifications, skills, training, experience, certifications, internal equity, and location. Compensation decisions are dependent on the facts and circumstances of each case.

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