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Data Engineer Jobs in Arizona (NOW HIRING)

Data Engineer III

Chandler, AZ · On-site

$116K - $140K/yr

Data Engineer III Job Locations US-AZ-Chandler Job ID 2026-4932 Category Engineering Worker Category Regular Full-Time[F] Company Overview Iridium is an award-winning and innovative satellite ...

Data Engineer

Flagstaff, AZ · On-site

$114K - $137K/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 ...

Data Engineer

Phoenix, 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 ...

Data Engineer

Mesa, 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 ...

Data Engineer

Chandler, AZ · On-site

$112K - $135K/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 ...

Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/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 ...

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 ...

Data Engineer

Tucson, AZ · On-site

$106K - $127K/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 ...

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 ...

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 ...

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 ...

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 ...

In addition, the Principal Data Engineer has the added responsibility of defining and guiding the domain-level data architecture, designing and managing the data environments that support analytics ...

In addition, the Principal Data Engineer has the added responsibility of defining and guiding the domain-level data architecture, designing and managing the data environments that support analytics ...

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Showing results 1-20

Data Engineer information

See Arizona salary details

$41.5K

$120.9K

$165.4K

How much do data engineer jobs pay per year?

As of Jul 13, 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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.

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.

What are Data Engineers?

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.

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 does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
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 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:

$116K - $140K/yr

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Re-posted 5 days ago


Job description

Data Engineer III
Job Locations US-AZ-Chandler
Job ID 2026-4932
Category Engineering Worker Category Regular Full-Time[F]
Company Overview

Iridium is an award-winning and innovative satellite communications company with bragging rights to the only network that offers voice and data connectivity anywhere in the world. For over 20 years, Iridium's unique network and services have supported critical communications needs for individuals, businesses, and the evolving Internet of Things.

At Iridium, we understand the importance of staying connected and the limitations of traditional communications networks. People across the globe, including first responders, humanitarians, global militaries, scientific researchers, and lone workers, as well as ships, aircraft and remote operations all rely on Iridium to stay connected. We take our responsibility for providing these essential communications very seriously and pride ourselves on offering a reliable lifeline when needed. Likewise, Iridium is committed to providing an exciting and innovative workplace, where employees are challenged to think outside the box and collaborate on new, bold ideas and solutions. Our talented teams are passionate about their work and the impact our company makes around the world. Iridium fosters an empowering and inclusive culture that allows employees to genuinely be their best selves. We are looking for others who want to join this truly unique company that celebrates our employees and provides the opportunity to truly make a difference in the world.

What We're Looking For:

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 will be excited about the Data Engineer opening with Iridium on our Enterprise Data team. 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 secure data foundations that support evolving business needs. In this role, you will focus primarily on designing and optimizing cloud-based data pipelines, ingestion frameworks, and data models that power analytics, reporting, operational insights, and more real-time data delivery, including modernization of QoS-related data pipelines. You will thrive in this role if you enjoy solving complex technical challenges, working with cross-functional partners, and building high-quality data infrastructure that drives strategic decision-making.

What You'll Do:
    Contribute to the design, development, and optimization of scalable, reliable, and efficient data pipelines and ETL processes
  • Build and enhance data ingestion frameworks using AWS services such as Glue and DataSync, along with platforms including Snowflake and DBT
  • Support the implementation of strategies for ingesting structured and unstructured data from databases, APIs, and streaming sources, ensuring data quality, accuracy, and security
  • Troubleshoot, diagnose, and resolve issues related to data pipelines and ingestion processes
  • Develop and maintain data models to support analytics, reporting, and crossfunctional business needs
  • Ensure adherence to data governance, compliance requirements, and security best practices
  • Monitor, maintain, and optimize the health and performance of the data infrastructure to proactively identify bottlenecks or inefficiencies
  • Work with crossfunctional teams to translate business requirements into scalable data solutions
  • Support the onboarding and integration of QoS data initiatives, enabling more realtime operational visibility
What You'll Need to Succeed:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
  • 5+ years of relevant experience in data engineering
  • Prior experience in effectively collaborating and communicating with engineering teams and business stakeholders to build and maintain productive working relationships
  • Strong proficiency in Snowflake, DBT, SQL, Python, and modern ETL/ELT frameworks
  • Experience with data pipeline design, data modeling, streaming and batch ingestion technologies such as Kafka and NiFi/Openflow
  • Handson experience with AWS cloud services and data quality, governance, and performancetuning practices
  • Ability to translate business requirements into scalable data architectures
  • Telecom or satellite industry experience is a plus
  • Strong organizational skills with the ability to set personal priorities and assist others in executing assigned tasks, with guidance; proactively communicates bandwidth issues to manager
  • Good communication skills, with the ability to comfortably present products, deliverables, analyses, and/or issues to groups within your team
  • Able to create, edit, and structure documents with minimal guidance
  • Demonstrates active listening and asks substantive, thought-provoking questions
  • Possess an analytical mindset, with the ability to understand key outputs of data analysis, make routine decisions using data, and recognize and propose solutions to issues
  • Proactive in providing formal and informal feedback to peers and managers
  • Facilitates teamwork, positively impacts team/peer group, and demonstrates ownership of assigned tasks and activities
Things That Would be Great if You Brought to the Table:
  • Experience with data orchestration tools such as Airflow
  • Familiarity with CI/CD pipelines, infrastructureascode, or data quality frameworks
  • AWS certifications or Snowflake certifications
We'll also need you to:
  • Be able to work in the office at least 60% of the time (3 days per week) to foster collaboration with the team and stakeholders
  • Be on call
  • Must be a US Person
Work Environment:

This position primarily works in an office setting and is largely sedentary with the majority of the position working with a computer. The role typically requires the use of basic office equipment such as a phone, video, computer, keyboard, mouse, and printer.

We believe in-person connection drives innovation, strengthens mentorship, and builds culture, while flexibility enables employees to do their best work. Under Iridium's Hybrid Work Policy, employees are expected to work at least three days per week (approximately 60%) in an Iridium office to support collaboration, relationship-building, and professional growth.

Additional Information

This job description outlines the general nature and level of work for this role and is not a comprehensive list of duties, responsibilities, or qualifications. Employees may be assigned additional responsibilities as needed.

Base Pay Range: $90,000 - $120,000 USD

Actual compensation will be determined based on a variety of factors and this range represents an estimate of compensation at the time of posting. Base salary is only one part of our compensation package for this role. You may also be eligible for company stock and annual bonus. Employee benefits also include medical, dental, and vision insurance coverage; 401(k) retirement plan options; paid time off and paid holidays; paid parental leave; and other discounts and perks.

Iridium is an Equal Opportunity Employer, including individuals with disabilities and protected veterans.