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Dbt Jobs in Arizona (NOW HIRING)

Data Engineer

Phoenix, AZ · On-site

$75 - $125/hr

You will work with a modern data stack -- dbt, Apache Airflow, Spark and cloud-native data platforms -- to deliver reliable, well-governed data products. Key Responsibilities * Build and maintain ELT ...

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Senior Data Engineer II (Hybrid)

Scottsdale, AZ · On-site

$106K - $145K/yr

In this hands-on senior individual contributor role, you will design, implement, and optimize modern data solutions across Snowflake, dbt, Fivetran, Elementary, Sigma, and the broader data ...

Senior Data Engineer II (Hybrid)

Scottsdale, AZ · On-site

$106K - $145K/yr

In this hands-on senior individual contributor role, you will design, implement, and optimize modern data solutions across Snowflake, dbt, Fivetran, Elementary, Sigma, and the broader data ...

Lead Data Platform Engineer

Phoenix, AZ · On-site

$101K - $134K/yr

Responsibilities : • Own the evolution of Virtuous's data platform, primarily on Snowflake and dbt, as a secure, scalable, and AI-ready system. • Design data models, metadata, and access patterns ...

Data Pipeline & Analytics Engineer

Yuma, AZ · On-site

$113K - $136K/yr

Job Duties and Responsibilities * ETL/ELT (Airflow, dbt or similar) * Data pipeline design & optimization * Workflow orchestration and monitoring * SQL (advanced) * Data modeling * Big data tools ...

Lead Data Platform Engineer

Phoenix, AZ · On-site

$101K - $134K/yr

Responsibilities : • Own the evolution of Virtuous's data platform, primarily on Snowflake and dbt, as a secure, scalable, and AI-ready system. • Design data models, metadata, and access patterns ...

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Dbt information

See Arizona salary details

$36.3K

$65.3K

$89.9K

How much do dbt jobs pay per year?

As of Sep 3, 2026, the average yearly pay for dbt in Arizona is $65,308.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,200.00 and $74,100.00 per year, depending on experience, location, and employer.

What is a dbt job?

dbt jobs refer to tasks or roles related to dbt (data build tool), an open-source command-line tool that helps data analysts and engineers transform data in their warehouse more effectively. dbt enables users to write modular SQL queries, perform data transformations, and manage data models using version control. Professionals working with dbt are typically responsible for building and maintaining data transformation pipelines, testing data quality, and documenting data models to ensure reliable analytics.

How does a dbt developer typically collaborate with data analysts and engineers in a project setting?

As a dbt Developer, you will work closely with data analysts to translate business requirements into data models and with data engineers to ensure data pipelines are reliable and optimized. Collaboration often includes participating in code reviews, aligning on data definitions, and troubleshooting data quality issues together. Open communication and frequent syncs are essential, as dbt projects thrive on version control, documentation, and shared ownership of data transformations. This teamwork helps ensure that analytics-ready datasets are accurate, scalable, and meet the organization's needs.

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

To thrive as a DBT Developer, you need strong SQL skills, knowledge of data modeling concepts, and experience with data warehouses like Snowflake or BigQuery, often backed by a degree in computer science or a related field. Familiarity with DBT Cloud or CLI, version control systems like Git, and workflow orchestration tools such as Airflow is typically required. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills for collaborating with data teams and ensuring data quality. These competencies are crucial for building reliable, scalable data pipelines that support accurate analytics and business decision-making.

What is the difference between Dbt vs Data Analyst?

AspectDbtData Analyst
Required CredentialsSQL, data modeling, version controlStatistics, Excel, SQL (sometimes)
Work EnvironmentData engineering teams, analytics engineeringBusiness units, reporting teams
Industry UsageData transformation, pipeline developmentData interpretation, reporting
Common Search IntentBuilding data models, pipelinesAnalyzing data, creating reports

While Dbt focuses on transforming and modeling data within data warehouses, Data Analysts primarily interpret data and generate reports for business insights. Dbt is more technical and engineering-oriented, whereas Data Analysts work closely with business teams to communicate findings.

What cities in Arizona are hiring for Dbt jobs?

Cities in Arizona with the most Dbt job openings:

Infographic showing various Dbt job openings in Arizona as of August 2026, with employment types broken down into 77% Full Time, 15% Part Time, and 8% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $65,308 per year, or $31.4 per hour.

Senior Software Engineer (Python, DBT, ETL)

RevSpring Inc

Phoenix, AZ • On-site

$130 - $170/hr

Other

Re-posted yesterday


Job description

Consumer Markets Drive action. Create impact.

At RevSpring, we build secure, outcomes-driven solutions that turn insight into action — streamlining engagement, simplifying payments, and driving better results. Join a diverse team focused on innovation, impact, and customer success.

Position:Senior Software Engineer (Python, DBT, ETL) Location: Phoenix, AZ
Job Id:1294 # of Openings:1 Job Title: Senior Software Engineer (Python, DBT, ETL)

What you will do in a Senior Software Engineer (Python, DBT, ETL) role at RevSpring:
  • Collaborate with teams across the organization, including product managers, data engineers and business leaders, to translate requirements into software solutions to process large amounts of data.
  • Design, build, and maintain data pipelines in Python and data transformations in DBT, ensuring ETL and data processes run efficiently and reliably.
  • Build and maintain integrations for healthcare data using FHIR and related standards.
  • Write clean, maintainable, and reusable code that adheres to best practices and coding standards.
  • Conduct thorough code reviews and provide constructive feedback to ensure high-quality codebase.
  • Optimize software performance and ensure scalability and reliability.
  • Stay up to date with the latest trends and advancements in data processing and ETL development and apply them to enhance our products.
  • Meet with product owners and other stakeholders weekly to discuss priorities and project requirements.
  • Ensure deployment of new code is tested thoroughly and has business sign off from stakeholders as well as senior leadership.
  • Handle all incoming support requests and errors in a timely manner and within the necessary time frame and time zone commitments to the business.
What you will bring:
  • 5+ years of experience building data pipelines with Python (required)
  • Hands-on experience building data models and transformations with DBT (required)
  • Knowledge and understanding of complex data pipelines utilizing ETL processes (required)
  • 4+ years of experience using relational databases and deep knowledge of SQL with the ability to understand complex data relationships and transformations (required)
  • Knowledge and understanding of Git (required)
  • 3+ years of experience with BigQuery and other GCP-native technologies (preferred)
    • Google Dataflow (Apache Beam SDK) (equivalent Hadoop technologies)
    • BigQuery (equivalent of any data warehouse technologies: Snowflake, Azure DW, Redshift, Athena)
    • Cloud Storage Buckets (equivalent to S3)
    • GCloud CLI
  • Experience with FHIR and related healthcare data standards (preferred)
  • Experience with Apache Airflow / Google Composer
  • Knowledge and understanding of Docker, Linux, Shell/Bash and virtualization technologies
  • Knowledge and understanding of CI/CD methodologies
  • Ability to understand and build UML diagrams to showcase complex logic
Bonus Points for Tech Enthusiasts:
  • Infrastructure as Code technologies (Pulumi, Terraform, CloudFormation)
  • Experience with observability and logging platforms (DataDog)
Language Skills: Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from a variety of both internal and external sources. Physical Capabilities:Standard categories The physical capabilities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.

RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Note:This Job Description may not describe all of the job responsibilities and standards assigned to this position. The duties may change from time to time. RevSpring does not discriminate against any group in hiring or employment practices. Nothing in this job description constitutes a contract for employment.
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