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Dbt Data Engineer Jobs in Utah (NOW HIRING)

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

The Data Engineer will own the design, development, and optimization of the data infrastructure ... tools such as dbt or Matillion • Working knowledge of at least one major cloud platform ...

Data Engineer

Salt Lake City, UT · On-site

$100K - $135K/yr

The Data Engineer will help scale the data foundations that power the business. This individual ... dbt, dlthub) * Experience developing and deploying code to Cloud environments (AWS, GCP, Azure)

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

Create and maintain reusable dbt models that support enterprise reporting, analytics, and self ... Strong Python programming experience * Experience building scalable data pipelines and ...

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

Create and maintain reusable dbt models that support enterprise reporting, analytics, and self ... Strong Python programming experience * Experience building scalable data pipelines and ...

Data Engineer

Salt Lake City, UT

$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 ...

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

$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 ...

Software Engineer, Data

Lehi, UT

$107K - $129K/yr

Our stack: dbt and Dagster on Redshift and Athena, with Superset for BI. Primary Responsibilities ... Mentor our data analysts and data scientists on engineering best practices (code review, testing ...

Software Engineer, Data

Lehi, UT · On-site

$107K - $129K/yr

Our stack: dbt and Dagster on Redshift and Athena, with Superset for BI. Primary Responsibilities ... Mentor our data analysts and data scientists on engineering best practices (code review, testing ...

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

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

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 August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

$108K - $130K/yr

Full-time

Re-posted 3 days ago


Job description

The Data Engineer will own the design, development, and optimization of the data infrastructure that underpins analytics, reporting, and machine learning initiatives across the credit union. Working closely with business intelligence analysts, compliance teams, and technology leadership, this role requires both technical depth and the ability to translate complex data challenges into reliable, scalable solutions within a regulated financial environment.

ESSENTIAL FUNCTIONS AND BASIC DUTIES

• Architect, build, and maintain robust ETL/ELT pipelines to integrate data from core banking systems, lending platforms, digital banking channels, and third-party vendors

• Design and manage the credit union’s data warehouse and data lake, including schema design, partitioning strategies, and performance optimization

• Develop and enforce data quality frameworks, including automated testing, validation rules, and alerting for pipeline anomalies

• Lead the implementation of data modeling best practices (dimensional modeling, data vault, or similar) to support scalable analytics

• Collaborate with data analysts, compliance officers, and business stakeholders to define data requirements and deliver trusted data products

• Manage orchestration and scheduling of data workflows using tools such as Matillion, Snowflake, or equivalent

• Evaluate, implement, and maintain cloud data infrastructure on Snowflake or Azure, including compute, storage, and networking resources

• Ensure all data processes comply with applicable regulations, including NCUA guidelines, BSA/AML requirements, and GLBA data privacy standards

• Partner with the IT security team to enforce data access controls, encryption standards, and audit logging

• Mentor junior data engineers and analysts, providing technical guidance and code reviews

• Drive adoption of DataOps practices, including CI/CD for data pipelines, version control, and documentation standards

• Support data migration efforts during platform transitions, core system upgrades, or mergers and acquisitions

• Works a regular and predictable schedule. 

QUALIFICATIONS

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field (or equivalent professional experience)

• 3–5 years of hands-on experience in data engineering, data infrastructure, or a closely related role

• Advanced proficiency in SQL and experience with large-scale relational and columnar databases (e.g., PostgreSQL, Redshift, Snowflake, BigQuery)

• Strong Python skills for data pipeline development and automation

• Demonstrated experience designing and maintaining ETL/ELT workflows using tools such as dbt or Matillion

• Working knowledge of at least one major cloud platform (Snowflake, AWS, Azure, or GCP) and associated data services

• Solid understanding of data warehousing concepts including dimensional modeling and schema design

• Experience implementing data quality monitoring, lineage tracking, and observability practices

• Strong communication skills with the ability to work effectively across technical and non-technical audiences

PREFERRED QUALIFICATIONS

• Experience in a regulated financial services environment such as credit unions, banks, or fintech companies

• Familiarity with credit union core banking platforms such as Symitar (Episys), Jack Henry, or FiServ

• Knowledge of data governance frameworks, or master data management

• Exposure to machine learning pipelines and feature engineering for predictive models

• Experience with BI platforms such as Power BI, Tableau, or Looker

• Relevant certifications such as AWS Certified Data Analytics, Snowflake SnowPro, or dbt Certified Developer

• Familiarity with NCUA examination processes or financial regulatory reporting (e.g., HMDA, Call Report data)