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Dbt Data Engineer Jobs in Utah (NOW HIRING)

PCC Ltd

Staff Data Engineer

Salt Lake City, UT · On-site

EHR data experience a strong plus.- Proven hands-on dbt, ELT, and rETL -- shipped and maintained.- Experience moving quality to the source: data contracts, producer-side enforcement, schema ...

Neighbor

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 ...

Opiniion

Data Architect

Lehi, UT · On-site

$59.75 - $77/hr

Guide and mentor data engineers through design reviews, technical documentation, and hands on ... Hands on experience with ETL/ELT tools and orchestration (dbt, Airflow, Fivetran, or similar)

BILL

Staff Data Warehouse Engineer

Draper, UT · On-site

... a Staff Data Warehouse Engineer and help build the trusted data backbone that powers decision ... Deep knowledge of ETL/ELT design, ingestion methods, and orchestration (e.g., dbt, Airflow or ...

BILL

Staff Data Warehouse Engineer

Draper, UT · On-site

We'd love to chat if you have: * 8+ years of experience in data engineering or combined software ... Deep knowledge of ETL/ELT design, ingestion methods, and orchestration (e.g., dbt, Airflow or ...

KēSTA I.T.

Data Analyst

Midvale, UT · On-site

$45 - $60/hr

Familiarity with AI concepts and prompt engineering. Technical Skills * Advanced SQL * Python * dbt * Databricks * Google Cloud Platform (GCP) * Data profiling and validation * Data transformation

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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.

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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?

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Dbt Data Engineer jobs near you
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.

Staff Data Engineer

PCC Ltd

Salt Lake City, UT • On-site

Full-time

Posted 12 days ago

Job description

About MetabodyYour body runs continuously. Your care runs on appointments -- fifteen minutes against half a million minutes of signal a year. The data piles up in apps nobody reads between visits, and by the time anyone looks, the window has closed.Metabody closes the loop. We unify every signal -- wearables, labs, records -- into one longitudinal graph; our AI co-clinician reads it continuously and surfaces what matters; and a licensed provider in any of 50 states is ready to act. Not just a wearable. Not just telehealth. The whole loop, compounding with every outcome.We're early, with real patients across all 50 states and a founding team that's built, shipped, and scaled before. This is a founding-team hire: you'll own a function from day one and set the patterns the next ten people inherit.The RoleYou build the longitudinal graph the entire company -- and the AI co-clinician -- reads from. A doer role: more time in the pipeline than in meetings about it. Stand up the lakehouse with quality enforced where data enters, and PHI handled correctly from the start.What you'll do- Build the longitudinal health graph end to end -- wearables, labs, records, FHIR-native integrations -- with clean PHI separation.- Shift quality left: data contracts at ingestion, bad rows quarantined loudly.- Own the ELT and rETL pipelines; shrink what they have to clean up.- Make the numbers governed and agent-ready: metric definitions in version-controlled code with lineage.- Direct AI agents on real pipeline work daily -- spec, review, decide what an agent may fix alone.What we're looking for- Strong EDW and data lake/lakehouse fundamentals in production -- Databricks ideally.- Healthcare PHI/HIPAA experience; EHR data experience a strong plus.- Proven hands-on dbt, ELT, and rETL -- shipped and maintained.- Experience moving quality to the source: data contracts, producer-side enforcement, schema registries.Source: https://careers.metabody.ai/open-roles/staff-data-engineer

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