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New Grad Data Engineer Jobs in Phoenix, AZ (NOW HIRING)

Senior Data Engineer

Mesa, AZ · On-site

$100K - $130K/yr

Amphenol Industrial Operations, headquartered in Endicott, New York with global manufacturing ... Collaborate with developers, and business stakeholders to understand data requirements and ...

New

Senior Data Engineer

Mesa, AZ · Remote

$105K - $142K/yr

Amphenol Industrial Operations, headquartered in Endicott, New York with global manufacturing ... Collaborate with developers, and business stakeholders to understand data requirements and ...

New

Project - Data Engineer II

Tempe, AZ · On-site

$109K - $131K/yr

As an experienced Data Engineer - Project Delivery Senior Analyst, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If ...

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... By using a broad range of tools, methodologies, and techniques, you will generate new ideas and ...

Principal Data Engineer

Scottsdale, AZ · Hybrid

$136K - $182K/yr

Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to ... Be a thought leader: a senior point of expertise on Data Engineering, Data Science, Business ...

Senior Data Engineer II (Hybrid)

Scottsdale, AZ · On-site +1

$106K - $145K/yr

Your Impact We are seeking a Senior Data Engineer II to play a pivotal role in building and ... Evaluate and introduce new tools, patterns, and platform capabilities that help Axon stay ahead of ...

Senior Engineer, Data

Tempe, AZ · On-site

$103K - $140K/yr

Adaptable and proactive in learning new technologies in a dynamic data environment. * Strong time ... Data engineering * Functional Expertise * Data modeling * Data management and data governance

Senior Data Engineer, Predictive Modeling

Tempe, AZ · On-site

$101K - $137K/yr

We expanded nationally, went public on the New York Stock Exchange, sold our 1 millionth car, and ... We're not just building data pipelines; we're engineering intelligent systems that predict the ...

Senior Data Engineer, Predictive Modeling

Tempe, AZ · On-site

$101K - $137K/yr

We expanded nationally, went public on the New York Stock Exchange, sold our 1 millionth car, and ... We're not just building data pipelines; we're engineering intelligent systems that predict the ...

Your Impact We are seeking a Senior Data Engineer II to play a pivotal role in building and ... Evaluate and introduce new tools, patterns, and platform capabilities that help Axon stay ahead of ...

We expanded nationally, went public on the New York Stock Exchange, sold our 1 millionth car, and ... We're not just building data pipelines; we're engineering intelligent systems that predict the ...

Showing results 41-60

New Grad Data Engineer information

See Phoenix, AZ salary details

$44.2K

$128.8K

$176.2K

How much do new grad data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for new grad data engineer in Phoenix, AZ is $128,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $136,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a new grad data engineer?

To thrive as a New Grad Data Engineer, you need a strong grasp of programming languages like Python or SQL, a background in computer science or a related field, and an understanding of data modeling and database concepts. Familiarity with data engineering tools such as ETL pipelines, cloud platforms like AWS or Azure, and certifications in these areas can be beneficial. Strong problem-solving skills, effective communication, and a willingness to learn are valuable soft skills for this position. These abilities ensure you can effectively handle complex data tasks, collaborate with technical teams, and adapt to evolving technologies in a fast-paced environment.

What does a new grad data engineer do?

As a New Grad Data Engineer, your day often involves writing and optimizing code for data pipelines, cleaning and transforming data, and troubleshooting any issues that arise. You’ll work closely with senior data engineers, data scientists, and sometimes business stakeholders to understand data requirements and deliver reliable solutions. Many entry-level roles emphasize learning and professional growth, so you can expect regular mentorship, code reviews, and opportunities to work on small components of larger projects. Over time, you’ll take on more complex responsibilities and contribute to the overall data infrastructure of your organization.

What is a new grad data engineer?

A New Grad Data Engineer is an entry-level role for recent graduates who focus on designing, building, and maintaining data pipelines and infrastructure. They work with databases, ETL (Extract, Transform, Load) processes, and big data technologies to ensure efficient data flow and storage. Typically, they collaborate with data scientists, analysts, and software engineers to support data-driven decision-making. This role requires knowledge of SQL, Python, and cloud platforms, along with problem-solving and analytical skills. It is an excellent opportunity to gain hands-on experience in data engineering while learning industry best practices.

Can I get a new grad data engineer job with no experience?

Securing a new grad data engineer position without experience is possible if you have relevant skills such as SQL, Python, or cloud platforms, and demonstrate a strong understanding of data pipelines and systems. Entry-level roles often focus on potential and foundational knowledge, and internships or projects can strengthen your application.
What job categories do people searching New Grad Data Engineer jobs in Phoenix, AZ look for? The top searched job categories for New Grad Data Engineer jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for New Grad Data Engineer jobs? Cities near Phoenix, AZ with the most New Grad Data Engineer job openings:
Infographic showing various New Grad Data Engineer job openings in Phoenix, AZ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $128,797 per year, or $61.9 per hour.

Data Engineer II - Zelle

Early Warning Services, LLC

Scottsdale, AZ • On-site

$83K - $124K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


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.