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Data Engineer Jobs in Phoenix, AZ (NOW HIRING)

Data Engineer III

Chandler, AZ ยท Remote

$110K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

GCP Data Engineer

Phoenix, AZ ยท 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 ...

Staff Data Engineer

Scottsdale, AZ ยท Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Are you a systems-level data engineer who thinks beyond individual pipelines to shape enterprise-wide data architecture and standards? Do you thrive on influencing technical direction and enabling ...

Principal Data Engineer

Phoenix, AZ ยท On-site

$110 - $140/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Summary As a Principal Data Engineer, you will serve as a handsโ€‘on technical leader responsible for designing, building, and optimizing Cambridge's modern data platform. You will help define ...

Data Engineer - Manager

Phoenix, AZ

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

GCP Data Engineer

Phoenix, AZ ยท 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 ...

GCP Data Engineer

Phoenix, AZ ยท 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 ...

Data Engineer - Senior Manager

Phoenix, AZ ยท On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

GCP Data Engineer

Phoenix, AZ ยท 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 ...

Data Engineer - Senior Associate

Phoenix, AZ

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

GCP Data engineer

Phoenix, AZ ยท On-site

$113K - $136K/yr

GCP Data engineer Location: Phoenix, AZ(onsite) Duration: Long term Experience: Min 6 years Visa: OPT,CPT, H4 EAD & L2 Mode of hiring: W2 Strong experience with Google Cloud Platform (GCP) services ...

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 ...

Data Engineer Sr.

Phoenix, AZ ยท On-site

$113K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Sr. Data Engineer

Chandler, AZ ยท Remote

$117K - $140K/yr

Strong Python and SQL programming Experience with Data warehousing techniques(Star Schema, Snowflaking, Normalization, Denormalization, Aggregations) Working experience in Health Care domain ...

Data Engineer

Phoenix, AZ ยท On-site

$111K - $133K/yr

JD: Technical/Functional Skills 1) Strong proficiency in SQL and database technologies 2) Familiarity with data warehousing and data modelling concepts 3) Hands-on experience with Google Cloud ...

Big Data Engineer

Phoenix, AZ

$55.25 - $73.25/hr

Big Data Engineer Location : Phoenix , AZ / Raleigh , NC / Tampa , FL 6 to 12 months AWS experience should have EMR Lambda, S3 and EC2 Should be strong hands-on experience in Big Data Technologies.

Big Data Engineer

Phoenix, AZ ยท On-site

$55.25 - $73.25/hr

Company Description Big Data Engineer Location : Phoenix , AZ / Raleigh , NC / Tampa , FL 6 to 12 months AWS experience should have EMR Lambda, S3 and EC2 Should be strong hands-on experience in Big ...

Showing results 41-60

Data Engineer information

See Phoenix, AZ salary details

$43.3K

$126.2K

$172.8K

How much do data engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data engineer in Phoenix, AZ is $126,247.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,400.00 and $133,800.00 per year, depending on experience, location, and employer.

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 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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.

What are the most commonly searched types of Data Engineer jobs in Phoenix, AZ?

The most popular types of Data Engineer jobs in Phoenix, AZ are:

What job categories do people searching Data Engineer jobs in Phoenix, AZ look for?

The top searched job categories for Data Engineer jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Data Engineer jobs?

Cities near Phoenix, AZ with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Phoenix, AZ as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 73% In-person, 18% Hybrid, and 9% Remote job distribution, with an average salary of $126,247 per year, or $60.7 per hour.

Data Engineer III

Iridium Satellite, LLC

Chandler, AZ โ€ข Remote

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago


Job description

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, Iridiumโ€™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 Weโ€™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 Youโ€™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 Youโ€™ll Need to Succeed:
  • Bachelorโ€™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
Weโ€™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 Iridiumโ€™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 - $130,000 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.