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Dbt Data Engineer Jobs in Arizona (NOW HIRING)

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 ...

Data Engineer

Phoenix, AZ · On-site

$75 - $125/hr

Data Engineer -- Position Summary Adroit Affine is looking for a Data Engineer to design, build and ... You will work with a modern data stack -- dbt, Apache Airflow, Spark and cloud-native data ...

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Data Engineer

Scottsdale, AZ · On-site

$120 - $180/hr

You will work closely with the Head of Data Engineering and cross‑functional partners across ... Build and maintain robust dbt models, testing frameworks, documentation, schema contracts, and ...

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Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

You will work closely with the Head of Data Engineering and cross-functional partners across ... Build and maintain robust dbt models, testing frameworks, documentation, schema contracts, and ...

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 ...

Data Engineer III

Chandler, AZ · On-site +1

$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 +1

$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 ...

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 ...

Senior Data Engineer II (Hybrid)

Scottsdale, AZ · On-site

$106K - $145K/yr

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 ...

Som Data Engineer hos oss bygger du moderna dataflöden och dataplattformar där kvalitet ... Erfarenhet av dbt eller liknande transformationsramverk Erfarenhet av orchestrering (t.ex. Airflow ...

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Dbt Data Engineer information

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.

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 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.

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 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 August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

$113K - $136K/yr

Other

Posted 6 days ago


Job description

·        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) for data transformation, modeling, testing, and documentation.

·        Proficiency in SQL and experience developing complex queries and data transformations.

·        Experience building and maintaining ETL/ELT pipelines.

·        Strong understanding of dimensional data modeling, star/snowflake schemas, facts, and dimensions.

·        Experience with Python for data processing and automation.

·        Experience with Git-based version control and CI/CD practices.

·        Knowledge of data quality, data validation, testing, and performance optimization.

·        Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform.

·        Familiarity with orchestration tools such as Airflow, Dagster, or similar is preferred.