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Dbt Data Engineer Jobs in Arizona (NOW HIRING)

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 ... Strong proficiency in Snowflake, DBT, SQL, Python, and modern ETL/ELT frameworks * Experience with ...

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 ... Strong proficiency in Snowflake, DBT, SQL, Python, and modern ETL/ELT frameworks * Experience with ...

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 ... Strong proficiency in Snowflake, DBT, SQL, Python, and modern ETL/ELT frameworks * Experience with ...

Senior Data Engineer II (Hybrid)

Scottsdale, AZ · On-site +1

$106K - $145K/yr

Hands-on expertise with Snowflake, dbt, Fivetran, and modern ELT/data warehouse architecture ... Proficiency leveraging AI-powered engineering tools such as Cursor and Claude Code as part of day ...

Establish and evolve engineering best practices, including dbt conventions, data modeling patterns ... testing standards, CI/CD workflows, and documentation practices. * Evaluate and introduce new tools ...

What you'll do The Global Technology - Data & Analytics team builds and operates the data platforms ... Build and maintain ELT/ETL pipelines using Airbyte and DBT on GCP/BigQuery * Orchestrate and ...

Senior Data & AI Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

The Senior Data & AI Engineer will be responsible for architecting and optimizing data solutions ... SQL (advanced), dbt or Fabric Dataflows/Power Query M, ADF/Synapse/Fabric Pipelines, Python for ETL ...

Lead Data Platform Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

Own the evolution of Virtuous's data platform, primarily on Snowflake and dbt , as a secure ... Collaborate with IT and Cloud Engineering to ensure Snowflake networking, storage integrations, and ...

Lead Data Platform Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Own the evolution of Virtuous's data platform, primarily on Snowflake and dbt , as a secure ... Collaborate with IT and Cloud Engineering to ensure Snowflake networking, storage integrations, and ...

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

... and DBT. * Expertisein implementing automated CI/CD pipelines, infrastructure as code, and ... Data engineering * Functional Expertise * Data modeling * Data management and data governance

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

... dbt, Dataflows, or Fabric/ADF pipelines. · Deep knowledge of healthcare data standards including CMS datasets, FHIR, HL7, X12/EDI, provider data, eligibility, and claims processing. · Strong data ...

Senior Data & AI Engineer

Phoenix, AZ · On-site

$100K - $136K/yr

Position Profile The Senior Data & AI Engineer will need to have deep hands'on experience in ... SQL (advanced), dbt or Fabric Dataflows/Power Query M, ADF/Synapse/Fabric Pipelines, Python for ETL ...

Senior Data & AI Engineer

Phoenix, AZ · Remote

$100K - $136K/yr

Position Profile The Senior Data & AI Engineer will need to have deep handsa'on experience in ... SQL (advanced), dbt or Fabric Dataflows/Power Query M, ADF/Synapse/Fabric Pipelines, Python for ETL ...

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Dbt Data Engineer information

Is dbt in demand?

Yes, dbt Data Engineers are in demand as organizations increasingly adopt modern data transformation tools to improve data workflows. Skills in SQL, data modeling, and familiarity with cloud platforms enhance job prospects in this field.

What engineer makes $500,000 a year?

Highly experienced data engineers, including those working with advanced big data tools like Apache Spark and cloud platforms, can earn salaries approaching or exceeding $500,000 annually, especially in senior or specialized roles at large tech companies. Achieving this level typically requires extensive expertise, certifications, and a strong track record in data architecture and engineering.

What are the key skills and qualifications needed to thrive as a Dbt Data Engineer, and why are they important?

To thrive as a Dbt Data Engineer, you need strong SQL skills, experience in data modeling, and a solid understanding of ELT/ETL pipelines, often supported by a degree in computer science or a related field. Familiarity with dbt (data build tool), version control systems like Git, and cloud data platforms such as Snowflake or BigQuery is typically required. Attention to detail, problem-solving abilities, and effective collaboration are essential soft skills for this role. These skills ensure robust, scalable, and maintainable data transformations that drive reliable analytics and business insights.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing need for managing large-scale data pipelines, cloud platforms, and data integration tools. Skills in SQL, Python, and cloud services like AWS or Azure enhance job prospects in this field.

How does a Dbt Data Engineer typically collaborate with data analysts and other stakeholders?

As a Dbt Data Engineer, you'll work closely with data analysts, business intelligence teams, and sometimes product managers to translate business requirements into reliable, well-structured data models. Collaboration often involves reviewing transformation logic, ensuring data quality, and providing documentation or training on Dbt models. You may also participate in regular stand-ups or data modeling sessions to align on priorities and address data challenges collaboratively. Effective communication skills are key, as you'll bridge the gap between raw data and actionable insights.

What are Dbt Data Engineers?

Dbt Data Engineers are professionals who specialize in using dbt (data build tool) to transform, test, and document data within modern data warehouses. They build and maintain data pipelines by writing SQL-based transformation scripts and ensuring data quality through automated testing. Dbt Data Engineers collaborate closely with analytics teams to create reliable, well-documented datasets that support business intelligence and analytics initiatives.

Do data engineers use dbt?

Data engineers often use dbt (data build tool) to transform and model data within data warehouses. It is a popular tool for managing data pipelines, enabling version control, testing, and documentation, which are key responsibilities of data engineers.

What is the difference between Dbt Data Engineer vs Data Analyst?

AspectDbt Data EngineerData Analyst
Primary FocusBuilding and maintaining data transformation pipelines using dbtAnalyzing data to generate reports and insights
Skills & ToolsSQL, dbt, ETL pipelines, cloud platformsSQL, Excel, BI tools, data visualization
Work EnvironmentData engineering teams, cloud data platformsBusiness units, reporting teams
CertificationsSQL, cloud certifications, dbt trainingData analysis, visualization certifications

While both roles work with data and SQL, Dbt Data Engineers focus on developing scalable data transformation pipelines using dbt, whereas Data Analysts primarily analyze data to produce reports and insights. The roles complement each other within data teams but differ in technical scope and responsibilities.

What job categories do people searching Dbt Data Engineer jobs in Arizona look for? The top searched job categories for Dbt Data Engineer jobs in Arizona are:
What cities in Arizona are hiring for Dbt Data Engineer jobs? Cities in Arizona with the most Dbt Data Engineer job openings:
Infographic showing various Dbt Data Engineer job openings in Arizona as of July 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 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, 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.