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

Tenex

Forward Deployed Data Engineer

Scottsdale, AZ · On-site

$120 - $160/hr

Build and validate log parsers for new data sources integrated into customer environments * Develop ... Collaborate with Deployment Engineers to ensure content is ready for new customer go-lives

Axon

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 ...

Carvana

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 ...

Carvana

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 ...

Carvana

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 ...

Axon

Senior Data Engineer II (Hybrid)

Scottsdale, AZ · On-site

$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 ...

IntraEdge

Big Data Engineer II

Phoenix, AZ · On-site

$55.75 - $73.75/hr

Test the engineering resilience of software and automation tools. * Be part of an enthusiastic ... and attract new customers to the Amex brand. * The position will also play a critical role ...

TEKsystems

Jr-Mid Level GCP Data Engineer

Phoenix, AZ · Hybrid

$38 - $40/hr

Jr-Mid Level GCP DATA ENGINEER W2 ONLY - Cannot do C2C or provide sponsorship HYBRID IN PHOENIX, AZ ... The team has an established Hadoop platform and is actively standing up a new GCP platform, making ...

TEKsystems

Junior-Mid Level GCP Data Engineer

Chandler, AZ · Hybrid

$38 - $40/hr

Jr-Mid Level GCP DATA ENGINEER W2 ONLY - Cannot do C2C or provide sponsorship HYBRID IN Chandler ... The team has an established Hadoop platform and is actively standing up a new GCP platform, making ...

TEKsystems

Junior-Mid Level GCP Data Engineer

Chandler, AZ · Hybrid

$38 - $40/hr

Jr-Mid Level GCP DATA ENGINEER W2 ONLY - Cannot do C2C or provide sponsorship HYBRID IN Chandler ... The team has an established Hadoop platform and is actively standing up a new GCP platform, making ...

TEKsystems

Jr-Mid Level GCP Data Engineer

Phoenix, AZ · Hybrid

$38 - $40/hr

Jr-Mid Level GCP DATA ENGINEER W2 ONLY - Cannot do C2C or provide sponsorship HYBRID IN PHOENIX, AZ ... The team has an established Hadoop platform and is actively standing up a new GCP platform, making ...

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Showing results 41-60

All JobsNew Grad Data Engineer JobsNew Grad Data Engineer Jobs in Tempe, AZ

New Grad Data Engineer information

See Tempe, AZ salary details

$42.6K

$124.2K

$170K

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

As of Sep 4, 2026, the average yearly pay for new grad data engineer in Tempe, AZ is $124,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,700.00 and $131,700.00 per year, depending on experience, location, and employer.

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.

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 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.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

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 in programming, databases, and data processing tools like SQL, Python, or Spark. Entry-level roles often focus on potential and foundational knowledge, and internships or certifications can strengthen your application.

What are popular job titles related to New Grad Data Engineer jobs in Tempe, AZ?

For New Grad Data Engineer jobs in Tempe, AZ, the most frequently searched job titles are:

What job categories do people searching New Grad Data Engineer jobs in Tempe, AZ look for?

The top searched job categories for New Grad Data Engineer jobs in Tempe, AZ are:

What cities near Tempe, AZ are hiring for New Grad Data Engineer jobs?

Cities near Tempe, AZ with the most New Grad Data Engineer job openings:

New Grad Data Engineer jobs near you
Infographic showing various New Grad Data Engineer job openings in Tempe, AZ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $124,239 per year, or $59.7 per hour.

Sr. Data Engineer - Snowflake and Lakehouse

Cognizant Technology Solutions

Phoenix, AZ • On-site

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Cognizant rating

7.0

Company rating: 7.0 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

59th of 72 rated business consultants

Job description

About the role
As a Senior Data Engineer - Snowflake and Lakehouse, you will make an impact by designing, building, and optimizing scalable data solutions that power analytics, reporting, and data-driven decision-making across the enterprise. You will be a valued member of the data engineering team and work collaboratively with client technology leads, analytics teams, data scientists, and platform engineers to deliver modern Lakehouse capabilities using Snowflake and the modern data stack.
In this role, you will:
  • Design and build scalable batch and near real-time data ingestion pipelines using Snowpipe and Snowpipe Streaming.
  • Develop and maintain robust data transformation frameworks and curated data models using dbt and industry best practices.
  • Build and optimize data processing solutions using Snowpark (Python and Spark) to support advanced transformations and machine learning use cases.
  • Implement and manage Dynamic Tables, Snowflake Tasks, and workflow orchestration to automate and streamline data operations.
  • Design and maintain Apache Iceberg-based Lakehouse architectures that enable open, interoperable, and high-performing data platforms.
  • Integrate Kafka event streams and CDC data sources into Snowflake to support scalable real-time analytics.
  • Monitor data platform health, optimize warehouse utilization, and implement cost and performance controls.
  • Establish data quality standards, schema validation processes, testing frameworks, and operational best practices.
  • Partner with cross-functional stakeholders to define data contracts, governance standards, and Lakehouse architecture guidelines.
  • Create and maintain technical documentation, architecture diagrams, data lineage artifacts, and operational runbooks.

Work model
At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance through our various well-being programs. Based on this role's business requirements, this is an onsite position requiring 5 days per week in a client office in either Phoenix, Arizona or Johnston, Rhode Island.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
  • Minimum 5 years of hands-on experience delivering data engineering solutions with Snowflake in enterprise environments.
  • Strong experience with Snowflake platform capabilities including virtual warehouses, security roles, tasks, performance tuning, and operational management.
  • Proven experience implementing batch and real-time ingestion solutions using Snowpipe and Snowpipe Streaming.
  • Hands-on experience with dbt for data transformations, testing, documentation, and version-controlled development practices.
  • Strong experience with Snowpark using Python and Spark for scalable data processing and transformation workloads.
  • Experience integrating Kafka event streams and/or Change Data Capture (CDC) pipelines with Snowflake.
  • Hands-on experience with AWS services such as S3, IAM, Glue, and Lambda supporting cloud-based data platforms.
  • Advanced SQL skills and strong understanding of data modeling, dimensional design, and Lakehouse architecture principles.
  • Experience with Dynamic Tables, workflow orchestration, and automated pipeline management.
  • Experience using Git-based source control and CI/CD practices for data engineering solutions.
  • Strong understanding of data governance, security, access controls, and cost optimization within Snowflake environments.

These will help you stand out
  • Experience developing large-scale processing solutions using Java Spark.
  • Familiarity with Interactive Tables or low-latency data serving frameworks within Snowflake.
  • Experience with workflow orchestration platforms such as Apache Airflow.
  • Experience leading or supporting migrations from traditional data warehouse environments to modern Lakehouse architectures.
  • Snowflake certifications such as SnowPro Core or SnowPro Advanced.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Salary and Other Compensation:
Applications will be accepted until September 13, 2025
The annual salary for this position is between $ 100,000 - $ 115,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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