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Data Engineering Jobs in Tempe, AZ (NOW HIRING)

GCP Data Engineer

Phoenix, AZ ยท On-site

$113K - $136K/yr

Degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field (or equivalent work experience) * 6+ years of experience working as a big data engineer (Required ...

GCP Data Engineer

Phoenix, AZ ยท On-site

$113K - $136K/yr

Degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field (or equivalent work experience) * 6+ years of experience working as a big data engineer (Required ...

Data Engineer

Scottsdale, 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 ...

GCP Data Engineer

Phoenix, AZ ยท On-site

$113K - $136K/yr

Degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field (or equivalent work experience) * 6+ years of experience working as a big data engineer (Required ...

Senior Data Engineer

Scottsdale, AZ ยท On-site

$107K - $145K/yr

Contribute to engineering best practices through technical discussions, peer reviews, documentation, and continuous improvement initiatives across the data engineering team * Leverage AI-powered ...

Data Engineer

Mesa, AZ ยท On-site

$65K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Required Skills & Qualifications โ€ข Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field โ€ข Good programming skills in Python and SQL โ€ข ...

Data Engineer

Scottsdale, AZ ยท 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 ยท On-site

$113K - $136K/yr

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

Data Engineer

Phoenix, AZ

$113K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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 ยท On-site

$113K - $136K/yr

Strong experience in database architecture, database engineering, or database administration * Deep understanding of relational database concepts - SQL, data modeling, normalization, indexing ...

Data Engineer

Phoenix, AZ ยท On-site

$113K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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 ยท On-site

$89K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 ยท On-site

$104K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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

$104K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

Showing results 21-40

Data Engineering information

See Tempe, AZ salary details

$44.7K

$160.5K

$236.9K

How much do data engineering jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data engineering in Tempe, AZ is $160,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,900.00 and $165,400.00 per year, depending on experience, location, and employer.

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.

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 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.

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 typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

What are the most commonly searched types of Data Engineering jobs in Tempe, AZ?

The most popular types of Data Engineering jobs in Tempe, AZ are:

What are popular job titles related to Data Engineering jobs in Tempe, AZ?

For Data Engineering jobs in Tempe, AZ, the most frequently searched job titles are:

What job categories do people searching Data Engineering jobs in Tempe, AZ look for?

The top searched job categories for Data Engineering jobs in Tempe, AZ are:

What cities near Tempe, AZ are hiring for Data Engineering jobs?

Cities near Tempe, AZ with the most Data Engineering job openings:

Infographic showing various Data Engineering 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 $160,515 per year, or $77.2 per hour.

Senior Software Engineer - DevOps & Data Engineering

Koantek

Chandler, AZ โ€ข On-site

$120K - $158K/yr

Contractor

Re-posted 11 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.