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Dbt Analytics Jobs in Arizona (NOW HIRING)

Cloud Architect

Phoenix, AZ · On-site

$63.25 - $80.50/hr

VPC networks, Service Perimeters, IAM, PAM, VPC Service Controls. 4) Data and Analytics: BigQuery ... and DBT or similar technologies for designing data ingestion/reporting, transformations ...

Data Engineer III

Chandler, AZ · On-site

$110K - $132K/yr

... Snowflake and DBT * Support the implementation of strategies for ingesting structured and ... Develop and maintain data models to support analytics, reporting, and cross-functional business ...

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

... Snowflake and DBT * Support the implementation of strategies for ingesting structured and ... Develop and maintain data models to support analytics, reporting, and crossfunctional business ...

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

... Snowflake and DBT * Support the implementation of strategies for ingesting structured and ... Develop and maintain data models to support analytics, reporting, and crossfunctional business ...

CD&A Data Engineer

Tempe, AZ · On-site

$150K - $225K/yr

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 ...

Lead Data Platform Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

... and dbt , as a secure, scalable, and AI-ready system. * Design data models, metadata, and access patterns that support natural-language querying and AI-assisted analysis . * Partner with Data ...

Lead Data Platform Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

... and dbt , as a secure, scalable, and AI-ready system. * Design data models, metadata, and access patterns that support natural-language querying and AI-assisted analysis . * Partner with Data ...

Adobe AEP engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Profile Management Understanding and utilizing the RealTime Customer Profile to monitor and analyse ... Experience of ELT tools such as DBT Fivetran and AWS Glue * Expert in SQL development experience in ...

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

What you've got · 8+ years of experience in data engineering or analytics with at least 5 years of ... using Python, dbt, Dataflows, or Fabric/ADF pipelines. · Deep knowledge of healthcare data ...

Senior Engineer, Data

Tempe, AZ · On-site

$103K - $140K/yr

... Matillion, and DBT. * Hands-on experience with Databricks, Cloud storage, and/or S3. * Good ... Familiarity with Advanced Analytics support: building pipelines and frameworks for Machine Learning.

Lead Engineer, Data Platforms

Tempe, AZ · On-site

$99K - $131K/yr

... and DBT. * Expertise in implementing automated CI/CD pipelines, infrastructure as code, and ... Strong problem-solving, analytical, and critical-thinking skills with a focus on business insights.

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

... and DBT. * Expertisein implementing automated CI/CD pipelines, infrastructure as code, and ... Strong problem-solving, analytical, and critical-thinking skills with a focus on business insights.

Showing results 21-40

Dbt Analytics information

See Arizona salary details

$34.9K

$59.6K

$85.7K

How much do dbt analytics jobs pay per year?

As of Aug 9, 2026, the average yearly pay for dbt analytics in Arizona is $59,551.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,400.00 and $66,200.00 per year, depending on experience, location, and employer.

What is a dbt analytics?

A dbt Analytics job typically refers to a role focused on using dbt (data build tool) to transform, test, and document data within a data warehouse. Professionals in this field design and manage data models, write SQL-based transformations, and ensure data quality for analytics purposes. They collaborate with data engineers and analysts to build efficient, maintainable workflows that support business intelligence and data-driven decision-making. dbt Analytics jobs require strong SQL skills, familiarity with modern data stack tools, and an understanding of data modeling best practices.

What are the key skills and qualifications needed to thrive as a dbt analytics professional?

To thrive as a DBT Analytics professional, you need strong SQL skills, a solid understanding of data modeling, and experience with analytics engineering, typically backed by a degree in a quantitative field. Familiarity with the DBT (Data Build Tool) platform, cloud data warehouses like Snowflake or BigQuery, and version control systems such as Git is essential. Attention to detail, problem-solving abilities, and effective communication help you collaborate with stakeholders and ensure data reliability. These skills and tools are crucial for transforming raw data into actionable insights and maintaining robust, scalable analytics infrastructure.

How does a dbt analytics professional typically collaborate with data engineers and analysts within a team?

Dbt Analytics professionals play a key role in bridging the work of data engineers and data analysts. They transform raw data into clean, well-documented, and analysis-ready datasets using dbt (data build tool), ensuring consistency and reliability. Collaboration often involves working closely with data engineers to understand data sources and pipelines, while also partnering with analysts to tailor data models to business needs. Effective communication and regular feedback loops are crucial, as dbt professionals often serve as the link between technical data infrastructure and business-facing analysis.

What is the difference between Dbt Analytics vs Data Analyst?

AspectDbt AnalyticsData Analyst
Required CredentialsSQL, data modeling, analytics certificationsStatistics, Excel, SQL, sometimes certifications
Work EnvironmentData teams, analytics platforms, cloud environmentsBusiness units, reporting tools, spreadsheets
Industry UsageData transformation, modeling, analytics pipelinesData interpretation, reporting, insights

While Dbt Analytics focuses on transforming and modeling data within analytics workflows, Data Analysts primarily interpret data and generate reports. Both roles require SQL skills and work closely with data teams, but Dbt Analytics emphasizes data transformation using tools like dbt, whereas Data Analysts focus on analyzing and communicating insights.

Is dbt analytics in demand?

Dbt analytics roles are increasingly in demand as companies focus on data transformation and analytics workflows. Skills in SQL, data modeling, and tools like dbt are valuable for data analysts and engineers working in modern data environments.
What cities in Arizona are hiring for Dbt Analytics jobs? Cities in Arizona with the most Dbt Analytics job openings:

Cloud Architect

Sarian, Inc.

Phoenix, AZ • On-site

$63.25 - $80.50/hr

Full-time

Re-posted 25 days ago


Job description

JD:
Technical/Functional Skills
1) Serverless: Cloud Run, Cloud Functions.
2) Compute: Kubernetes Engine, Compute Engine.
3) Networking and Security: VPC networks, Service Perimeters, IAM, PAM, VPC Service Controls.
4) Data and Analytics: BigQuery, Cloud SQL, Cloud Spanner, Firestore, Dataproc, Dataflow, Data Fusion, Cloud Composer.
5) API Management: Apigee, Cloud Endpoints.
6) Security Controls: Security Command Centre.
Roles & Responsibilities
• Extensive, demonstrable experience as a Data Architect with a track record of working with data lake and data warehouse environments specifically in the cloud
• Utilize GCP-based data platform architecture to meet enterprise data strategic goals
• Excellent knowledge of Google Cloud Platform capabilities for driving transformation and solution delivery
• Define the methodology used to integrate data from various internal and external sources
• Support data analytics and business intelligence efforts by ensuring data accessibility and reliability through business intelligence tools.
• Overseeing DevSecOps processes, establishing principles, and implementing robust methodologies across teams or entire programs.
• Expert knowledge of modern data stack in particular Google Cloud Storage (GCS), Google BigQuery (GBQ), Airflow and DBT or similar technologies for designing data ingestion/reporting, transformations, optimisations and middleware interoperability
• Demonstrated ability to assess needs of the relevant internal teams, creatively approach solutions, decide, and influence appropriate courses of action
• Strong verbal and written communication skills with the ability to articulate complex technical ideas in easy-to-understand business terms