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Dbt Developer Jobs in Utah (NOW HIRING)

Crumbl

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 ...

Crumbl

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 ...

Crumbl

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 ...

Crumbl

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 ...

Smarty

Data Engineer

Orem, UT · On-site

$100/hr

We are looking for a skilled Data Engineer to join our Business Intelligence team at Smarty, a ... Develop and maintain dbt models, tests, and documentation to transform raw source data into ...

Utah Community Credit Union

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

... or dbt Certified Developer • Familiarity with NCUA examination processes or financial regulatory reporting (e.g., HMDA, Call Report data) Equal Opportunity Employer This employer is required to ...

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Dbt Developer information

See Utah salary details

$15

$48

$74

How much do dbt developer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for dbt developer in Utah is $48.10, according to ZipRecruiter salary data. Most workers in this role earn between $36.78 and $58.85 per hour, depending on experience, location, and employer.

What is the difference between Dbt Developer vs Data Engineer?

AspectDbt DeveloperData Engineer
Primary FocusBuilding and maintaining data transformation pipelines using dbtDesigning, developing, and managing data infrastructure and pipelines
Skills & CertificationsSQL, dbt, data modeling, analytics skillsSQL, Python, ETL tools, cloud platforms, data architecture
Work EnvironmentAnalytics teams, data warehouses, BI projectsData platforms, cloud environments, big data systems

While both roles involve working with data, a Dbt Developer specializes in transforming data using dbt within analytics and BI projects, whereas a Data Engineer focuses on building and maintaining the broader data infrastructure and pipelines across various systems.

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 expertise, data modeling skills, and experience with ETL processes, typically supported by a background in computer science or data engineering. Familiarity with DBT (Data Build Tool), version control systems like Git, and cloud data warehouses such as Snowflake or BigQuery is essential. Attention to detail, problem-solving abilities, and effective communication help you deliver scalable data solutions and collaborate with cross-functional teams. These skills are crucial for building reliable data pipelines, ensuring data quality, and enabling data-driven decision-making within organizations.

What is a dbt developer?

A Dbt Developer is a data professional who specializes in using dbt (data build tool) to transform raw data into clean, reliable datasets for analytics and business intelligence. They write modular SQL code to perform data transformations, manage data models, and ensure data quality within modern data warehouses. Dbt Developers collaborate closely with data engineers, analysts, and business users to create efficient, maintainable data workflows. Their work enables organizations to make informed decisions based on trustworthy and well-structured data.

How does a dbt developer typically collaborate with data engineers and analysts on a project?

DBT Developers frequently work alongside data engineers to ensure that data pipelines provide clean, reliable data to downstream users. They collaborate with analysts to understand data requirements, define business logic, and implement transformations that support analytics and reporting. Regular communication is essential for aligning on naming conventions, documenting models, and troubleshooting issues. This collaboration often takes place through code reviews, shared documentation, and agile ceremonies such as sprint planning or stand-ups.
What are popular job titles related to Dbt Developer jobs in Utah? For Dbt Developer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Dbt Developer jobs in Utah look for? The top searched job categories for Dbt Developer jobs in Utah are:
What cities in Utah are hiring for Dbt Developer jobs? Cities in Utah with the most Dbt Developer job openings:
Dbt Developer jobs near you
Infographic showing various Dbt Developer job openings in Utah as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $100,054 per year, or $48.1 per hour.

Senior Software Engineer (Python, DBT, ETL)

RevSpring Inc

Salt Lake City, UT • Remote

$118K - $156K/yr

Full-time

Posted 6 days ago

Job description

Job Title: Senior Software Engineer (Python, DBT, ETL)
What you will do in a Senior Software Engineer (Python, DBT, ETL) role at RevSpring:
  • Collaborate with teams across the organization, including product managers, data engineers and business leaders, to translate requirements into software solutions to process large amounts of data.
  • Design, build, and maintain data pipelines in Python and data transformations in DBT, ensuring ETL and data processes run efficiently and reliably.
  • Build and maintain integrations for healthcare data using FHIR and related standards.
  • Write clean, maintainable, and reusable code that adheres to best practices and coding standards.
  • Conduct thorough code reviews and provide constructive feedback to ensure high-quality codebase.
  • Optimize software performance and ensure scalability and reliability.
  • Stay up to date with the latest trends and advancements in data processing and ETL development and apply them to enhance our products.
  • Meet with product owners and other stakeholders weekly to discuss priorities and project requirements.
  • Ensure deployment of new code is tested thoroughly and has business sign off from stakeholders as well as senior leadership.
  • Handle all incoming support requests and errors in a timely manner and within the necessary time frame and time zone commitments to the business.
What you will bring:
  • 5+ years of experience building data pipelines with Python (required)
  • Hands-on experience building data models and transformations with DBT (required)
  • Knowledge and understanding of complex data pipelines utilizing ETL processes (required)
  • 4+ years of experience using relational databases and deep knowledge of SQL with the ability to understand complex data relationships and transformations (required)
  • Knowledge and understanding of Git (required)
  • 3+ years of experience with BigQuery and other GCP-native technologies (preferred)
    • Google Dataflow (Apache Beam SDK) (equivalent Hadoop technologies)
    • BigQuery (equivalent of any data warehouse technologies: Snowflake, Azure DW, Redshift, Athena)
    • Cloud Storage Buckets (equivalent to S3)
    • GCloud CLI
  • Experience with FHIR and related healthcare data standards (preferred)
  • Experience with Apache Airflow / Google Composer
  • Knowledge and understanding of Docker, Linux, Shell/Bash and virtualization technologies
  • Knowledge and understanding of CI/CD methodologies
  • Ability to understand and build UML diagrams to showcase complex logic
Bonus Points for Tech Enthusiasts:
  • Infrastructure as Code technologies (Pulumi, Terraform, CloudFormation)
  • Experience with observability and logging platforms (DataDog)
Language Skills:
Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from a variety of both internal and external sources.
Physical Capabilities: Standard categories
The physical capabilities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Note: This Job Description may not describe all of the job responsibilities and standards assigned to this position. The duties may change from time to time. RevSpring does not discriminate against any group in hiring or employment practices. Nothing in this job description constitutes a contract for employment.

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