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Data Engineering Jobs in Arizona (NOW HIRING)

Data Engineer

Scottsdale, AZ

$115K - $139K/yr

... Engineering or related field Experience Skills Qualifications 6 years of experience in Data Engineering with an emphasis on Data Warehousing and Data Analytics 4 years of experience with one of the ...

GKE Data Engineer

Scottsdale, AZ

$115K - $139K/yr

Gke Data Engineering Lead Our client is in need of a GKE Data Engineering Lead for a 2 year engagement to assist in solutioning the architecture as we transform the rebate processing system from ...

Databricks Data Engineer

Tempe, AZ

$109K - $131K/yr

Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL) * Support the modernization of enterprise data ...

Sr Data Engineer

Phoenix, AZ

$113K - $136K/yr

... engineering, scripting, and performance optimization. • Extensive experience with Apache Spark (PySpark/Spark SQL) for large-scale data transformation and processing. • Solid experience in ...

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Promote best practices in data engineering and contribute to the continuous improvement of the data infrastructure. Qualifications Bachelor's or Master's degree in Computer Science, Information ...

Data Engineer

Scottsdale, AZ

$115K - $139K/yr

JOB SPECIFICATIONS Education Bachelors Degree in Computer Science Information Technology Engineering or related field Experience Skills Qualifications 6 years of experience in Data Engineering with ...

Data Engineer

Gilbert, AZ

$114K - $137K/yr

Serves as a technical leader in data engineering, driving best practices in pipeline design, data modeling, and platform optimization. Key Responsibilities: * Design, develop, and maintain end-to-end ...

New

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Promote best practices in data engineering and contribute to the continuous improvement of the data infrastructure. Qualifications Bachelor's or Master's degree in Computer Science, Information ...

Data Engineer

Tempe, AZ

$109K - $131K/yr

Collaborate with Product, BI, Engineering, and Data Analytics teams to support reliable reporting and analytics solutions * Share technical knowledge with coworkers and contribute to continuous ...

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Showing results 1-20

Data Engineering information

See Arizona salary details

$42.9K

$153.8K

$226.9K

How much do data engineering jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data engineering in Arizona is $153,778.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,400.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Data Engineer?

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 a Data Engineering job?

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.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

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 Arizona? The most popular types of Data Engineering jobs in Arizona are:
What are popular job titles related to Data Engineering jobs in Arizona? For Data Engineering jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Data Engineering jobs? Cities in Arizona with the most Data Engineering job openings:
Delivery Consultant, Data Engineering and Gen AI

Delivery Consultant, Data Engineering and Gen AI

Deloitte

Gilbert, AZ • On-site

Other

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


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Position Summary Join Deloitte's Government & Public Services (GPS) practice as a 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 Delivery Consultant, Data Engineering GenAI on the AI & Data team, you will be responsible for… * Designing, building, testing, and maintaining data pipelines and data integration workflows * Supporting the development and deployment of cloud-based data engineering solutions for analytics and artificial intelligence use cases * Preparing, transforming, and validating structured and unstructured data for downstream reporting, modeling, and operational use * Collaborating with cross-functional teams to troubleshoot issues, improve data quality, and optimize platform performance * Documenting technical designs, development activities, and production support procedures in alignment with project standards 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, Computer Engineering, Information Systems, Data Science, Mathematics, or Engineering * 3+ years of experience designing, building, and supporting data pipelines and data integration solutions * 3+ years of experience with Python and Structured Query Language * 2+ years of experience with cloud-based data engineering tools or platforms * 1+ year of experience supporting artificial intelligence or generative artificial intelligence data use cases * 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: * Experience with Amazon Web Services, Microsoft Azure, or Google Cloud Platform * Experience with Agentic AI development * Experience with Apache Spark, Databricks, or distributed data processing frameworks * Experience supporting large language model, vector database, or retrieval-augmented generation implementations * Experience serving government or public sector clients Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte.

Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively.

It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day.

It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there's always room to learn.

We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Requisition code: 354400 Job ID 354400


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