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Data Engineering Jobs in Phoenix, AZ (NOW HIRING)

Partner with data science and analytics teams to enable graph-based feature engineering and machine learning integration Preferred Technical Expertise * Deep expertise in Neo4j platform capabilities ...

Data Architect

Chandler, AZ · On-site

$61.50 - $79/hr

We are looking for a Data Engineer with strong expertise in AWS, Python, and Conversational Analytics with a focus on secure, scalable, and resilient systems. This role will focus on developing ...

Data Engineer II

Phoenix, AZ · On-site

$113K - $136K/yr

... the broader engineering community through open source, our mission is to power your success ... We are seeking a Data Engineer in the Incident Response Tooling team to design, develop and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

If you are experienced in data engineering, cloud-based data platforms, and enterprise data modernization, and have 5+ years of experience designing and supporting scalable data solutions, then you ...

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

If you are experienced in data engineering, cloud-based data platforms, and enterprise data modernization, and have 5+ years of experience designing and supporting scalable data solutions, then you ...

Data Engineer III

Chandler, AZ · On-site

$110K - $132K/yr

If you are experienced in data engineering, cloud-based data platforms, and enterprise data modernization, and have 5+ years of experience designing and supporting scalable data solutions, then you ...

Showing results 41-60

Data Engineering information

See Phoenix, AZ salary details

$45.7K

$163.8K

$241.8K

How much do data engineering jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data engineering in Phoenix, AZ is $163,848.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,600.00 and $168,800.00 per year, depending on experience, location, and employer.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

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. They are essential for building and maintaining data pipelines, often working with tools like Apache Spark, Hadoop, and cloud platforms, and typically require strong programming and database skills. The demand is expected to remain strong as organizations continue to prioritize data infrastructure.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Phoenix, AZ? The most popular types of Data Engineering jobs in Phoenix, AZ are:
What are popular job titles related to Data Engineering jobs in Phoenix, AZ? For Data Engineering jobs in Phoenix, AZ, the most frequently searched job titles are:
What cities near Phoenix, AZ are hiring for Data Engineering jobs? Cities near Phoenix, AZ with the most Data Engineering job openings:
Infographic showing various Data Engineering 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 $163,848 per year, or $78.8 per hour.

Delivery Senior Consultant, Data Engineering and Gen AI Conversion Solutions

Deloitte

Gilbert, AZ • On-site

Other

Re-posted 18 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services


Job description

Join Deloitte's Government & Public Services (GPS) practice as a Senior Consultant, Data Engineering and help deliver data solutions that support mission-driven outcomes. In this role, you will contribute to the design, build, and execution of data engineering and conversion solutions for government clients. You will work across data migration, integration, and validation activities to help clients modernize platforms and scale their data capabilities within Deloitte's US Delivery Center model.

Work you'll do

As a Senior Consultant, Data Engineering on the GPS AI & Data team, you will be responsible for...

  • Developing, designing, and maintaining cutting-edge AI-based systems, ensuring smooth and engaging user experiences
  • Participating in a wide variety of Natural Language Processing activities, including refining and optimizing prompts to improve the outcome of Large Language Models (LLMs), and code and design review
  • Developing and promoting standards across the community
  • Working with leadership and stakeholders to identify AI opportunities and promote strategy
  • Building and prioritizing backlog for future machine-learning enabled features to support client business processes

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte's scale and talent, as well as a center delivery model to provide high-quality, cost-effective service with standardized processes and procedures to service businesses across Deloitte.

The Deloitte US Delivery Center has a small-business feel with a big-business impact. With the resources of Deloitte and a community feel, the delivery center model provides high-quality services to our clients. USDC professionals work out of one of our specific delivery center locations, and each location presents dynamic career opportunities for professionals to focus on their work with nominal travel requirements.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or another quantitative field or equivalent experience
  • 6+ years of experience programming in Python or R with libraries like Tensorflow, PyTorch, or Keras
  • 5+ years of experience with NLP and LLM, especially focused on GenAI technologies such as OpenAI, Claude, Gemini, etc.
  • 2+ years of understanding of machine learning algorithms, including supervised and unsupervised learning
  • Proven experience with with cloud-hyperscalers (AWS, Azure, GCP)
  • Proven experience with big data technologies, i.e Angular, React, NodeJS, C#, .Net, Java, Golang, SQL
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Must be able to obtain and maintain the required clearance for this role 

Preferred:

  • 1+ years of experience supporting government or public sector data programs
  • Master's Degree in related technical discipline
  • Experience working with Agile delivery methods
  • Experience with Agentic AI development

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Join Deloitte's Government & Public Services (GPS) practice as a Senior Consultant, Data Engineering and help deliver data solutions that support mission-driven outcomes. In this role, you will contribute to the design, build, and execution of data engineering and conversion solutions for government clients. You will work across data migration, integration, and validation activities to help clients modernize platforms and scale their data capabilities within Deloitte's US Delivery Center model.

Work you'll do

As a Senior Consultant, Data Engineering on the GPS AI & Data team, you will be responsible for...

  • Developing, designing, and maintaining cutting-edge AI-based systems, ensuring smooth and engaging user experiences
  • Participating in a wide variety of Natural Language Processing activities, including refining and optimizing prompts to improve the outcome of Large Language Models (LLMs), and code and design review
  • Developing and promoting standards across the community
  • Working with leadership and stakeholders to identify AI opportunities and promote strategy
  • Building and prioritizing backlog for future machine-learning enabled features to support client business processes

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte's scale and talent, as well as a center delivery model to provide high-quality, cost-effective service with standardized processes and procedures to service businesses across Deloitte.

The Deloitte US Delivery Center has a small-business feel with a big-business impact. With the resources of Deloitte and a community feel, the delivery center model provides high-quality services to our clients. USDC professionals work out of one of our specific delivery center locations, and each location presents dynamic career opportunities for professionals to focus on their work with nominal travel requirements.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or another quantitative field or equivalent experience
  • 6+ years of experience programming in Python or R with libraries like Tensorflow, PyTorch, or Keras
  • 5+ years of experience with NLP and LLM, especially focused on GenAI technologies such as OpenAI, Claude, Gemini, etc.
  • 2+ years of understanding of machine learning algorithms, including supervised and unsupervised learning
  • Proven experience with with cloud-hyperscalers (AWS, Azure, GCP)
  • Proven experience with big data technologies, i.e Angular, React, NodeJS, C#, .Net, Java, Golang, SQL
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Must be able to obtain and maintain the required clearance for this role 

Preferred:

  • 1+ years of experience supporting government or public sector data programs
  • Master's Degree in related technical discipline
  • Experience working with Agile delivery methods
  • Experience with Agentic AI development

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

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