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Data Engineer Internship Jobs in Phoenix, AZ (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

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Data Engineer Internship information

See Phoenix, AZ salary details

$13

$25

$38

How much do data engineer internship jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for data engineer internship in Phoenix, AZ is $25.24, according to ZipRecruiter salary data. Most workers in this role earn between $20.53 and $28.65 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a data engineer internship, and why are they important?

To thrive as a Data Engineer Intern, you need a solid background in programming (especially Python or Java), SQL, and basic data management concepts, often gained through coursework in computer science, data science, or related fields. Experience with tools like SQL databases, ETL pipelines, and cloud platforms (such as AWS or Azure), as well as familiarity with big data frameworks like Hadoop or Spark, is highly valuable. Strong analytical thinking, attention to detail, and the ability to communicate technical information clearly help interns collaborate effectively within diverse teams. These skills are vital for supporting data infrastructure development, ensuring data quality, and contributing to impactful data-driven solutions.

What is a data engineer internship?

A Data Engineer Internship is a temporary, entry-level role where interns gain hands-on experience in data infrastructure, ETL pipelines, and database management. Interns typically work with large datasets, assist in building data models, and collaborate with data scientists and analysts to ensure efficient data processing. They learn tools like SQL, Python, and cloud platforms while improving data quality and automation processes. This role provides valuable industry experience and prepares interns for full-time data engineering positions.

What types of projects or tasks can I expect to work on during a data engineer internship?

As a Data Engineer Intern, you can expect to assist with building and maintaining data pipelines, cleaning and transforming datasets, and supporting the integration of new data sources. You may also help optimize database performance, troubleshoot data quality issues, and collaborate with data scientists or analysts to ensure data accessibility. Interns often work on real-world projects that offer hands-on experience with tools and technologies common in the industry. This exposure not only builds your technical skills but also provides valuable insights into how data engineering supports business decision-making and analytics.

What are the most commonly searched types of Data Engineer jobs in Phoenix, AZ?

The most popular types of Data Engineer jobs in Phoenix, AZ are:

What job categories do people searching Data Engineer Internship jobs in Phoenix, AZ look for?

The top searched job categories for Data Engineer Internship jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Data Engineer Internship jobs?

Cities near Phoenix, AZ with the most Data Engineer Internship job openings:

Infographic showing various Data Engineer Internship job openings in Phoenix, AZ as of August 2026, with employment types broken down into 13% Internship, 74% Full Time, and 13% Part Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $52,492 per year, or $25.2 per hour.

Data Engineer II - Zelle

Early Warning Services, LLC

Scottsdale, AZ • On-site

$83K - $124K/yr

Other

Medical, Dental, Vision, Retirement, PTO

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


Job description

At Early Warning, we've powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle , Paze , and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.
Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.
Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.
Overall Purpose
Technical expert responsible for building data science tools/infrastructure.
The Data Engineer evaluates, designs, and develops business intelligence solutions across multiple technology stacks. They work closely across multiple business functions and technology partners to interpret metrics into information clarity that informs planning, measuring, trending and enhanced operational performance. They research technology best-practices, implement frameworks, and align BI directions with strategic business initiatives. Analyze metrics sources, monitor data quality, define logical inter-dependencies, develop datamarts and build comprehensive business process dashboards.
Essential Functions
  • Work with business users to define new and existing requirements for reports and dashboards as well as identify gaps in data, logic, and business understanding
  • Design and develop backend solutions for new data sources using Cloudera technology stack
  • Using Tableau, create complex, visually appealing, and interactive dashboards/ scorecards/ reports to support business processes, including related trends, and projections
  • Conduct in-depth data analysis to come up with logical results and perform cause and effect analysis based on the data available.
  • Design data ETL and manipulations to support production and ad-hoc analyses and reports
  • Investigate industry best-practices and help guide strategic data platforms, tools, and processes
  • Recommends standards, policies and procedures for the form, structure, and attributes of the BI tools and systems
  • Provides support and training to business teams as necessary
  • Write data infrastructure & analytics software tools for Data Science.
  • Mentor and train interns.
  • Guide Data Scientists on best practices in software engineering.
  • Collaborate with analytics leadership and engineers from other parts of EW on architectural and software enhancements to the Data Science platform.
  • Collaborate with Data Science leadership on improving ETL and cluster computing.
  • Supporting the company's commitment to risk management and protecting the integrity and confidentiality of systems and data

Minimum Qualifications
  • Education and experience typically obtain through a Bachelor's degree
  • Typically has 2-4 years of demonstrated progressive work experience in the following - PySpark/Python/Spark/Scala in a Linux environment for Data Engineering development
  • Understanding of Tableau Server and Tableau Dashboard
  • Demonstrated ability with testing, problem solving and analysis
  • Knowledge of the principle, practices and techniques of dashboard development, reporting, data modeling, ETL and systems design
  • Experience working with SQL Spark
  • Software/data engineering in Python
  • Machine Learning toolkits in Python/R
  • Building reusable frameworks for data ingestion and storage in Hadoop or AWS/S3
  • Relational databases, optimizing/tuning queries, indexing, partitioning, etc.
  • Experience collaborating with internal engineering & technology teams within a company on building data infrastructure in a regulated, enterprise environment;
  • Strong communication skills
  • Background and drug screen

Preferred Qualifications
Prior demonstrated experience 2-4 years
Scala/Java PySpark experience
Experience with Hive/Impala & Linux
Fin-tech experience
The above job description is not intended to be an all-inclusive list of duties and standards of the position.
Physical Requirements
Working conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with internal and/or external customers.
Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.
The base pay scale for this position in:
Phoenix, AZ/ Chicago, IL / Washington, DC in USD per year is: $83,000 - $124,000.
New York, NY/ San Francisco, CA in USD per year is: $99,000 - $132,000.
Additionally, candidates are eligible for a discretionary incentive plan and benefits.
This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer. Early Warning Services takes into consideration a variety of factors when determining a competitive salary offer, including, but not limited to, the job scope, market rates and geographic location of a position, candidate's education, experience, training, and specialized skills or certification(s) in relation to the job requirements and compared with internal equity (peers). The business actively supports and reviews wage equity to ensure that pay decisions are not based on gender, race, national origin, or any other protected classes.
Some of the Ways We Prioritize Your Health and Happiness
  • Healthcare Coverage -Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.
  • 401(k) Retirement Plan -Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.
  • Paid Time Off - Flexible Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.
  • 12 weeks of Paid Parental Leave
  • Maven Family Planning - provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.

And SO much more! We continue to enhance our program, so be sure to check our Benefits page here for the latest. Our team can share more during the interview process!
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Early Warning Services, LLC ("Early Warning") considers for employment, hires, retains and promotes qualified candidates on the basis of ability, potential, and valid qualifications without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote equal employment opportunity and affirmative action, in accordance with all applicable federal, state, and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our employees.