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Data Engineer Internship Amazon Jobs in Arizona (NOW HIRING)

Data Engineer

Chandler, AZ · On-site

$116K - $140K/yr

Amazon AWS S3 - Object storage, security, data service integration with S3 * Data modelling and ... Exposure in GCP cloud data engineering is a plus. Note: Manager Notes: * The candidates need to be ...

New

Data Engineer

Chandler, AZ · On-site

$116K - $140K/yr

Amazon AWS S3 - Object storage, security, data service integration with S3 * Data modelling and ... Exposure in GCP cloud data engineering is a plus. Note: Manager Notes: * The candidates need to be ...

New

Data Engineer

Phoenix, AZ

$113K - $136K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data ... Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms * Skilled in ...

Data Engineer

Phoenix, AZ · On-site

$111K - $133K/yr

... as Amazon Redshift, Google BigQuery, or Apache Airflow 6) Knowledge of Airflow and CI/CD pipelines 7) Exposure to data visualization tools such as Looker, PowerBI, Tableau etc Roles ...

Sr Databricks Data Engineer

Tempe, AZ · On-site

$109K - $131K/yr

Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or ...

... Amazon Scale" - Own and operate the systems that you build based on real-time customer data ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ...

You'll play a pivotal role in maintaining the heartbeat of Amazon Web Services' physical ... The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical ...

Amazon Web Services (AWS) is looking for a detail-oriented individual to join our Data Center Engineering Operations Team. This committed group works to maintain the critical physical infrastructure ...

Cloud Engineer

Phoenix, AZ · On-site

$55.25 - $74/hr

Info Way Solutions is seeking a skilled and experienced Cloud Data Engineer to join their dynamic ... and managing data platforms on AWS. • Strong hands-on experience with Amazon EKS (Elastic ...

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Data Engineer Internship Amazon information

See Arizona salary details

$12

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

As of Sep 5, 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?

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

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

What cities in Arizona are hiring for Data Engineer Internship Amazon jobs?

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

$116K - $140K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Required Qualifications:

  • 4 plus years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
  • Minimum 4 years of handon experience with:
  • Building data pipeline using bigdata stack (Hadoop, Hive, pySpark, python)
  • Amazon AWS S3 - Object storage, security, data service integration with S3
  • Data modelling and database design.
  • Job Scheduler - Autosys
  • PowerBI, Dremio
  • Unix/shell scripting, CICD pipeline
  • Exposure in GCP cloud data engineering is a plus.

Note:
Manager Notes:

  • The candidates need to be proactive; they can't wait to be told what to do
  • Must be accountable along with the technical skills
  • The tech stack mentioned, these are the technologies being used to build data pipelines
  • They need to model, design the data, build pipelines, applying logic to the data to transform the data and troubleshoot
  • They should have a strong understanding and implementation of Autosys
  • Ability to automate using spark, Python, Hadoop/Hive
  • Should have a fundamental background in database design (MySQL or any standard database)
  • Exposure to Cloud data engineering is a big plus, not required
  • Financial services experience is a plus, but not requiredhaving domain knowledge is helpful

Technical Assessment:

  • Client needs a clear understanding of tech work experience; they need to be able to describe the work they have done
  • Overall problem solving, so given a problem how efficiently does their thought process drive towards a solution?

PART OF THE PILOT PROGRAM:

  • Duration: 24month contract with possible conversion to FTE

Location:

  • Chandler, AZ only option
  • 3 days a week in office.