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Data Engineering Jobs in Phoenix, AZ (NOW HIRING)

Data Engineer

Scottsdale, AZ · On-site

$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 ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Bachelor's degree in Computer Science, Information Technology, or a related field. * 3-7 years of experience in Data Engineering. * Strong programming skills in Python and SQL. * Experience with ...

Data Engineer

Phoenix, AZ

$113K - $136K/yr

The ideal candidate has a solid foundation in data engineering and enjoys working across multiple technologies to build scalable, reliable data solutions. This individual will partner closely with ...

Data Engineer II

Phoenix, AZ · On-site

$89K - $150K/yr

Partner with Finance, Engineering, Product, and analytics stakeholders to translate business needs into effective data solutions. * Develop and support dashboards, curated datasets, and recurring ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Required : • Bachelor's Degree in Computer Science, Computer Engineering or Electrical Engineering with 5+ years of data engineering experience, Master's Degree is a plus • 3+ years of experience ...

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

The ideal candidate has a solid foundation in data engineering and enjoys working across multiple technologies to build scalable, reliable data solutions. This individual will partner closely with ...

Data Engineer

Phoenix, AZ

$113K - $136K/yr

The ideal candidate has a solid foundation in data engineering and enjoys working across multiple technologies to build scalable, reliable data solutions. This individual will partner closely with ...

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

The ideal candidate has a solid foundation in data engineering and enjoys working across multiple technologies to build scalable, reliable data solutions. This individual will partner closely with ...

Data Engineer

Tolleson, AZ · On-site

$112K - $135K/yr

Bachelor's degree in Data Engineering, Computer Science, Information Systems, Industrial Engineering, Business Analytics, or related field; or equivalent combination of education and relevant ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Bachelor's degree in Data Engineering, Computer Science, Information Systems, Industrial Engineering, Business Analytics, or related field; or equivalent combination of education and relevant ...

Data Engineer

Tolleson, AZ

$112K - $135K/yr

Bachelor's degree in Data Engineering, Computer Science, Information Systems, Industrial Engineering, Business Analytics, or related field; or equivalent combination of education and relevant ...

Senior Data Platform Engineer

Tempe, AZ

$109K - $131K/yr

Modernize the Azure-based data ecosystem, contributing to cloud architecture, distributed data engineering, data modeling, security, and CI/CD automation. * Utilize Apache Airflow and similar tools ...

Senior Data Platform Engineer

Tempe, AZ

$109K - $131K/yr

Modernize the Azure-based data ecosystem, contributing to cloud architecture, distributed data engineering, data modeling, security, and CI/CD automation. * Utilize Apache Airflow and similar tools ...

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 ...

Showing results 21-40

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.

Senior Software Engineer - DevOps & Data Engineering

Koantek

Chandler, AZ

$120K - $159K/yr

Contractor

Re-posted 29 days ago


Job description

Job Title: Senior Software Engineer - DevOps & Data Engineering Job Description We are looking for a versatile Senior Software Engineer who thrives at the intersection of traditional software engineering, robust CI/CD infrastructure, and heavy data systems. In this role, you will bridge the gap between application development and scalable infrastructure. You will manage complex integrations with large customer repositories, streamline our deployment pipelines, and heavily contribute to our data architecture.

We value continuous learning and are looking for someone eager to expand their skills into advanced data frameworks and AI-driven development workflows. Key Responsibilities CI/CD & Repo Management: Design, build, and maintain robust CI/CD pipelines optimized for integrating with large, complex customer repositories. Full-Stack Development: Write clean, scalable code across the full stack while ensuring seamless deployment and system reliability.

Infrastructure as Code: Utilize Terraform to provision, manage, and scale cloud infrastructure. Data Engineering & Architecture: Work extensively on heavy data-side engineering, including data pipeline development and optimizing data flows. Continuous Upskilling: Proactively learn and implement PySpark and modern Data Architecture principles to support our growing data needs.

AI Tool Integration: Leverage modern AI tools like Claude, Cursor, and agentic workflows to accelerate development and automate routine engineering tasks. Required Skills & Qualifications Core Engineering: Strong background in traditional Software Engineering practices (OOP, system design, and clean code). CI/CD Expertise: Proven experience with advanced CI/CD tools, version control, and managing deployments for large-scale customer repositories.

Full-Stack Exposure: Solid understanding of both frontend and backend development lifecycles. Cloud & IaC: Hands-on experience (or a strong foundational knowledge) with Terraform and cloud infrastructure management. Data-Centric Mindset: Experience working heavily on the data side of applications.

Growth Mindset: Strong willingness and readiness to upskill quickly on PySpark and Data Architecture. Modern Tooling: Familiarity with LLMs and AI-assisted development tools like Claude and Cursor. Big Plus / Bonus Skills Advanced experience with Terraform at scale.

Experience building or utilizing Agentic tools and workflows for automation.