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Dbt Data Engineer Jobs in Arizona (NOW HIRING)

Vertex Education

$100 - $150/hr

... 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 ...

Virtuous

Lead Data Platform Engineer

Phoenix, AZ · On-site

$101K - $134K/yr

They are seeking a Lead Data Platform Engineer to design and build a robust data ecosystem that ... dbt, as a secure, scalable, and AI-ready system. • Design data models, metadata, and access ...

Virtuous

Lead Data Platform Engineer

Phoenix, AZ · On-site

$101K - $134K/yr

They are seeking a Lead Data Platform Engineer to design, build, and own the systems that power ... dbt, as a secure, scalable, and AI-ready system. • Design data models, metadata, and access ...

Virtuous Software

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 ...

Virtuous

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 ...

Dutchbros

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

Phoenix Staff

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 ...

Hospice of the Valley

Senior Data & AI Engineer

Phoenix, AZ · Remote

$100K - $136K/yr

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

Hospice of the Valley

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 ...

Dutch Bros. Coffee

Lead Engineer, Data Platforms

Tempe, AZ · On-site

$99K - $131K/yr

... and DBT. * Expertise in implementing automated CI/CD pipelines, infrastructure as code, and ... Develop and maintain data engineering frameworks that support machine learning workflows and ...

Staffingine LLC

Adobe AEP engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Adobe AEP engineer Job Location: Phoenix, AZ Job Type: Contract * Adobe Experience Platform AEP ... IBM Data Stage * Experience of ELT tools such as DBT Fivetran and AWS Glue * Expert in SQL ...

Deloitte

Senior Forward Deployed Engineer- AWS

Tempe, AZ

$100K - $137K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

Deloitte

Lead Forward Deployed Engineer - AWS

Tempe, AZ · On-site

$98K - $129K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

Deloitte

Forward Deployed Engineer- AWS

Tempe, AZ

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

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All JobsDbt Data Engineer JobsDbt Data Engineer Jobs in Arizona

Dbt Data Engineer information

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.

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 is a dbt data engineer?

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.

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 are popular job titles related to Dbt Data Engineer jobs in Arizona?

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

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:

Dbt Data Engineer jobs near you
Infographic showing various Dbt Data Engineer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Director of Data Governance & Data Quality

Vertex Education

On-site

$100 - $150/hr

Other

Posted 9 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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