ZipRecruiter

Log In

1

Data Engineer Jobs in Arizona (NOW HIRING)

Bespoke Labs

Data Engineer

Glendale, AZ · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Donato Technologies, Inc

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

GCP Data Engineer role Phoenix, AZ Need a Vedio screening Required skills * BS or MS degree in computer science, computer engineering, or other technical discipline, or equivalent work experience ...

Arrivia

Fabric Data Engineer

Scottsdale, AZ · Hybrid

$115K - $138K/yr

About the Role arrivia is looking for an experienced Fabric Data Engineer to take ownership of complex data pipeline architectures inside the Microsoft Fabric ecosystem. You will design and optimize ...

American Express

Data Engineer II

Phoenix, AZ · On-site

$89K - $150K/yr

We are seeking a Data Engineer II to join our team and help deliver scalable data solutions that support public cloud financial management. This role will focus on building and maintaining data ...

Arrivia

Fabric Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

About the Role arrivia is looking for an experienced Fabric Data Engineer to take ownership of complex data pipeline architectures inside the Microsoft Fabric ecosystem. You will design and optimize ...

Iridium Satellite, LLC

Data Engineer III

Chandler, AZ · Remote

As a Data Engineer III, you'll be responsible for delivering high-quality work that advances Iridium's enterprise data modernization and consolidation initiatives, ensuring scalable, reliable, and ...

Iridium Satellite, LLC

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

As a Data Engineer III, you'll be responsible for delivering high-quality work that advances Iridium's enterprise data modernization and consolidation initiatives, ensuring scalable, reliable, and ...

Iridium Satellite, LLC

Data Engineer III

Chandler, AZ · On-site

$110K - $132K/yr

As a Data Engineer III, you'll be responsible for delivering high-quality work that advances Iridium's enterprise data modernization and consolidation initiatives, ensuring scalable, reliable, and ...

Tiger Analytics Inc.

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to join our team, specifically focused on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. We are seeking an ...

Pwc

Data Engineer - Manager

Phoenix, AZ

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 ...

First Citizens Bank

Senior Data Engineer

Scottsdale, AZ · On-site

$107K - $145K/yr

We are seeking an experienced Senior Data Engineer to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision ...

Tiger Analytics Inc.

GCP Data Engineer

Phoenix, AZ

$113K - $136K/yr

We are seeking an experienced Data Engineer to join our team, specifically focused on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. We are seeking an ...

Tiger Analytics Inc.

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to join our team, specifically focused on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. We are seeking an ...

Pwc

Data Engineer - Senior Manager

Phoenix, AZ

$124K - $280K/yr

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 ...

Tiger Analytics Inc.

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer to join our team, specifically focused on building large-scale ETL/ELT pipelines and analytical architectures within the GCP ecosystem. We are seeking an ...

Pwc

Data Engineer - Senior Associate

Phoenix, AZ · On-site

$77K - $202K/yr

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 ...

Perficientcorp Inc

Python Data Engineer

Phoenix, AZ · On-site

Immediate Hiring | Python Data Engineer / API Developer We are hiring experienced Python Data Engineers / API Developers for enterprise-level projects. If you have strong expertise in PySpark, GCP ...

TriWest Healthcare

Data Engineer Sr.

Phoenix, AZ · On-site

$113K - $136K/yr

Job Summary The Senior Data Engineer will be responsible for design and development of ETL. The role will cover full systems development life cycle (SDLC) phases including requirements gathering ...

previous page

Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Arizona

Data Engineer information

See Arizona salary details

$41.5K

$120.9K

$165.4K

How much do data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data engineer in Arizona is $120,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Arizona?

The most popular types of Data Engineer jobs in Arizona are:

What are popular job titles related to Data Engineer jobs in Arizona?

For Data Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in Arizona look for?

The top searched job categories for Data Engineer jobs in Arizona are:

What cities in Arizona are hiring for Data Engineer jobs?

Cities in Arizona with the most Data Engineer job openings:

What are popular job titles related to Data Engineer jobs in AZ?

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $120,881 per year, or $58.1 per hour.

Data Engineer

Bespoke Labs

Glendale, AZ • On-site

$113K - $136K/yr

Full-time

Re-posted 2 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of data engineering experience — pipelines, ETL, data modeling in production or research settings

Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure — observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Apply