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Dbt Jobs in Arizona (NOW HIRING)

Vertex Education

$100 - $150/hr

Design the incident process, define rules, tolerances and monitoring expectations for Snowflake, dbt and other tools; classify failures, route remediation and prevent mismatches from escalating to BI ...

Globe Telecom, Inc.

Data Engineer Manager

Globe, AZ

$108K - $130K/yr

Implement end-to-end data flows using modern data engineering tools (e.g., Spark, Airflow, dbt, Snowflake, Databricks). 2. Data Engineering Strategy & Governance * Define and champion data ...

VRN Technologies

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

· 8+ years of experience in Data Engineering and data pipeline development. · Strong hands-on experience with Snowflake for cloud data warehousing. · Strong experience with dbt (Data Build Tool ...

Radix Software, Inc

Data Engineer

Scottsdale, AZ · On-site

$120 - $180/hr

Build and maintain robust dbt models, testing frameworks, documentation, schema contracts, and semantic‑layer assets that create trusted, scalable data products. * Define and enforce data contracts ...

New

Sierra Tucson

Director of Clinical Services

Tucson, AZ · On-site

This role exists to design, implement, and sustain evidence-based treatment programs (e.g., CBT, DBT) that drive measurable outcomes, uphold regulatory compliance, and foster recovery across the ...

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Showing results 21-40

All JobsDbt JobsDbt Jobs in Arizona

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 are popular job titles related to Dbt jobs in Arizona?

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

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

The top searched job categories for Dbt jobs in Arizona are:

What cities in Arizona are hiring for Dbt jobs?

Cities in Arizona with the most Dbt job openings:

Dbt jobs near you
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.

Director of Data Governance & Data Quality

Vertex Education

On-site

$100 - $150/hr

Other

Posted 28 days ago

Job description

As Director of Data Governance & Data Quality at Vertex Education, you will lead the development and enforcement of data trust practices across a complex, multi‑entity environment, ensuring that critical data is defined, governed, and trusted for decision‑making.

Responsibilities
  • Governance Operating Model & Business Ownership: Build and run the Data Trust Council, establish owner/steward models for enrollment, finance, student, school and other critical domains, and coach stakeholders on responsibilities for data quality and approval.
  • Certification, Definitions & Data Product Trust: Create certification framework for data assets, maintain a metric registry and definition workflow, and partner with Data Engineering and BI to ensure certified datasets, dashboards, and reports are traceable, tested, and fit for use.
  • Data Quality Incident Management & Root‑Cause Discipline: Design the incident process, define rules, tolerances and monitoring expectations for Snowflake, dbt and other tools; classify failures, route remediation and prevent mismatches from escalating to BI or engineering.
  • Source Change Control & Data Impact Reviews: Create and enforce Data Impact Reviews for material changes, evaluate impact on metrics, dashboards and outputs, and coordinate pre‑go‑live requirements with business, technology, Data Platform, BI and Product owners.
  • Cross‑Functional Partnership & Education Data Context: Serve as operating bridge among leaders, establish governance standards across shared systems, ensure privacy, retention, and security coordination, and translate technical lineage into plain‑language implications for executives and non‑technical stakeholders.
Qualifications
  • 7+ years of progressive experience in data governance, data quality, data strategy, analytics operations, data product operations or related data management roles.
  • Proven success creating business‑owned data governance in a messy, multi‑system environment where source systems, definitions, dashboards and operational processes were initially misaligned.
  • Strong technical fluency with modern data environments such as Snowflake, dbt, Tableau or comparable BI tools.
  • Experience designing source‑change control, data quality incident management, certification standards and owner/steward models that drive actual operational behavior.
  • Ability to distinguish source‑process issues, integration failures, data engineering defects, definition disputes, dashboard QA problems, timing/freshness gaps and user‑interpretation issues.
  • Excitement to join a high‑performing team and grow a career focused on data impact and governance.
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