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Dbt Data Engineer Jobs in Utah (NOW HIRING)

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

... dbt and Prefect to support data science and machine learning applications • Develop and maintain data ingestion processes to bring data from external sources into the organization's data ...

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

Crumbl HQ is seeking a skilled and motivated data engineer to join our growing team ... The successful candidate will be responsible for building and maintaining data pipelines using dbt ...

Data Engineer

Provo, UT

$108K - $130K/yr

Crumbl HQ is seeking a skilled and motivated data engineer to join our growing team ... The successful candidate will be responsible for building and maintaining data pipelines using dbt ...

Data Engineer

Provo, UT

$108K - $130K/yr

Crumbl HQ is seeking a skilled and motivated data engineer to join our growing team ... The successful candidate will be responsible for building and maintaining data pipelines using dbt ...

Sr Data Engineer

Salt Lake City, UT · On-site

$140K - $160K/yr

... dbt to improve testing, documentation, and deployment consistency. • Support cloud-based data ... modern data engineering practices, including tools such as PySpark when needed for larger-scale ...

Data Engineer

Salt Lake City, UT · On-site

$105K - $126K/yr

Position Summary We're hiring a Data Engineer to build our data foundation from the ground up ... Additional Desired Qualifications * dbt experience (models + tests + docs) or the ability to ramp ...

Senior Data Engineer

American Fork, UT · On-site

$94K - $128K/yr

Seasoned Data Engineer: 7+ years building and operating production data pipelines using SQL, Python, and modern ELT tooling (dbt, Fivetran, Airflow, or equivalents). You've owned systems under ...

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

Designing and implementing robust ETL/ELT pipelines using Airflow, DBT, and cloud-native ... Upward mobility toward Staff Data Engineer or specialized technical leadership roles. * Continuous ...

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

Designing and implementing robust ETL/ELT pipelines using Airflow, DBT, and cloud-native ... Upward mobility toward Staff Data Engineer or specialized technical leadership roles. * Continuous ...

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

Designing and implementing robust ETL/ELT pipelines using Airflow, DBT, and cloud-native ... Upward mobility toward Staff Data Engineer or specialized technical leadership roles. * Continuous ...

Senior Data Engineer

American Fork, UT

$94K - $128K/yr

Seasoned Data Engineer: 7+ years building and operating production data pipelines using SQL, Python, and modern ELT tooling (dbt, Fivetran, Airflow, or equivalents). You've owned systems under ...

Senior Data Engineer

American Fork, UT · On-site

$94K - $128K/yr

Seasoned Data Engineer: 7+ years building and operating production data pipelines using SQL, Python, and modern ELT tooling (dbt, Fivetran, Airflow, or equivalents). You've owned systems under ...

Analytics Engineer This role will build out foundational agentic data tooling to support sales ... Design and implement a semantic data warehouse layer on top of our datalake using Snowflake and dbt

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Dbt Data Engineer information

Is dbt in demand?

Yes, dbt Data Engineers are in demand as organizations increasingly adopt modern data transformation tools to improve data workflows. Skills in SQL, data modeling, and familiarity with cloud platforms enhance job prospects in this field.

What engineer makes $500,000 a year?

Highly experienced data engineers, including those working with advanced big data tools like Apache Spark and cloud platforms, can earn salaries approaching or exceeding $500,000 annually, especially in senior or specialized roles at large tech companies. Achieving this level typically requires extensive expertise, certifications, and a strong track record in data architecture and engineering.

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.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing need for managing large-scale data pipelines, cloud platforms, and data integration tools. Skills in SQL, Python, and cloud services like AWS or Azure enhance job prospects in this field.

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 Dbt Data Engineers?

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.

Do data engineers use dbt?

Data engineers often use dbt (data build tool) to transform and model data within data warehouses. It is a popular tool for managing data pipelines, enabling version control, testing, and documentation, which are key responsibilities of data engineers.

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 job categories do people searching Dbt Data Engineer jobs in Utah look for? The top searched job categories for Dbt Data Engineer jobs in Utah are:
What cities in Utah are hiring for Dbt Data Engineer jobs? Cities in Utah with the most Dbt Data Engineer job openings:
Infographic showing various Dbt Data Engineer job openings in Utah as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Engineer

Data Engineer

Crumbl

Provo, UT • On-site

$109K - $131K/yr

Full-time

Posted 18 days ago


Job description

Job Summary:
Crumbl is the fastest-growing cookie company in the nation, seeking a skilled and motivated data engineer to join their growing team. The successful candidate will be responsible for building and maintaining data pipelines to support data-driven decision-making across the organization.
Responsibilities:
• Design, build, and maintain scalable and reliable data pipelines through ELT/ETL extraction methods.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data quality
• Develop and maintain documentation, including data dictionaries, workflow diagrams, and data flow diagrams
• Ensure the integrity and security of data by implementing appropriate controls and monitoring
• Optimize and tune data pipelines to ensure efficient processing and query performance
• Implement and maintain data security policies and procedures, including access controls, encryption, and data masking
• Design and implement data processing workflows using dbt and Prefect to support data science and machine learning applications
• Develop and maintain data ingestion processes to bring data from external sources into the organization’s data environment
• Identify and address performance issues with data pipelines, and work with infrastructure and operations teams to optimize system performance
• Conduct testing and validation of data pipelines to ensure they are functioning correctly and meeting business requirements
• Participate in code reviews and contribute to the development of best practices for data engineering
• Stay current with emerging technologies and trends in data engineering and data science, and identify opportunities to leverage them within the organization
Qualifications:
Required:
• Bachelor’s or Master’s degree in Data Science, Information Systems, or a related field
• 3+ years building and maintaining production data pipelines (degree in a related field or equivalent experience)
• Advanced SQL: window functions, CTEs, and query/performance tuning on large datasets
• Strong Python for data engineering (modular, testable pipeline code)
• Hands-on dbt experience: models, tests, macros, and incremental materializations
• Production Snowflake experience: schema design, performance tuning, and warehouse/cost optimization
• AWS data services (e.g., S3, Glue, Lambda)
• Data quality and observability with dbt + Elementary
• Infrastructure-as-code with Terraform and version control with Git
• Dimensional data modeling (star/snowflake schemas, SCDs) and lakehouse concepts
• Strong problem-solving skills and clear communication with analysts, scientists, and stakeholders
Company:
Crumbl is an American multinational bakery franchise. Founded in 2017, the company is headquartered in Lindon, USA, with a team of 10001+ employees. The company is currently Late Stage.