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Dbt Data Engineer Jobs in Seattle, WA (NOW HIRING)

Vibotek LLC

Data Engineer

Seattle, WA

$130K - $156K/yr

The Data Engineer will be responsible for designing, building, and maintaining robust and scalable ... Build and maintain pipelines in Databricks, DBT, and Snowflake to deliver curated datasets for AI ...

Vibotek LLC

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Vibotek LLC is a technology company seeking a Data Engineer. The role involves ingesting and ... Required : • Hands-on experience with Databricks (PySpark/SQL, Unity Catalog), DBT (models, tests ...

eNett

Software Development Engineer 2

Seattle, WA

Snowflake, dbt (Data Build Tool), CI/CD Automation. * Preferred Tech Stack: Salesforce Core, Salesforce Data360 (DataCloud). Experience you'll bring 1. Data Modeling & Pipeline Engineering * Design ...

WEX

Software Development Engineer 2

Seattle, WA · On-site

Snowflake, dbt (Data Build Tool), CI/CD Automation. * Preferred Tech Stack: Salesforce Core, Salesforce Data360 (DataCloud). Experience you'll bring 1. Data Modeling & Pipeline Engineering * Design ...

eTeam

AI & Data - Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Job Summary : eTeam is looking for a Data Engineer specializing in AI and Data. The role involves ... Required : • Hands-on experience with Databricks (PySpark/SQL, Unity Catalog), DBT (models, tests ...

Vibotek LLC

Data Engineer

Seattle, WA

$130K - $156K/yr

... DBT, and Snowflake to deliver curated datasets for AI/ML. * 3. Design simple, reusable data models to support training and inference. * 4. Implement data quality tests, documentation, and lineage in ...

Weyerhauser Co

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

We expect engineers to use AI as a force multiplier - both in how we build the platform (LLM ... Land and preserve history of raw data in the Azure data lake or Snowflake (bronze), then build dbt ...

Weyerhaeuser Company

Data Engineer

Seattle, WA

$130K - $156K/yr

We expect engineers to use AI as a force multiplier - both in how we build the platform (LLM ... Land and preserve history of raw data in the Azure data lake or Snowflake (bronze), then build dbt ...

GOAT Group

Senior Data Engineer

Seattle, WA

$128K - $160K/yr

Grailed is looking for a Senior Data Engineer to help us build and scale the data infrastructure ... Snowflake, DBT, Airflow, Fivetran, Segment, Looker, Amplitude, Algolia, AWS/Lambda, Git * Deep ...

Coupang

Staff Data Engineer

Redmond, WA · On-site

$164 - $282/hr

Partner with Data Science, Engineering, and Product to enable reliable, accurate logging ... Airflow, Dagster, DBT) Pay & Benefits Our compensation reflects the cost of labor across several US ...

TEKFORTUNE INC

Data/Cloud Engineer

Seattle, WA · On-site

$130K - $156K/yr

The Data/Cloud Engineer is responsible for designing, building, testing, and deploying data ... e.g., AWS Glue, Spark, dbt) across raw → curated → consumption layers. • Develop ...

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All JobsDbt Data Engineer JobsDbt Data Engineer Jobs in Seattle, WA

Dbt Data Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

How much do dbt data engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for dbt data engineer in Seattle, WA is $147,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $156,500.00 per year, depending on experience, location, and employer.

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 Seattle, WA?

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

What job categories do people searching Dbt Data Engineer jobs in Seattle, WA look for?

The top searched job categories for Dbt Data Engineer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Dbt Data Engineer jobs?

Cities near Seattle, WA with the most Dbt Data Engineer job openings:

Dbt Data Engineer jobs near you
Infographic showing various Dbt Data Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $147,621 per year, or $71 per hour.

Data Engineer

Vibotek LLC

Seattle, WA

$130K - $156K/yr

Contractor

Re-posted 24 days ago

Job description

Job Summary

We are seeking a highly skilled and motivated Data Engineer to join our growing data team. The Data Engineer will be responsible for designing, building, and maintaining robust and scalable data pipelines and infrastructure. This role requires a strong understanding of data warehousing, ETL processes, and big data technologies. The ideal candidate will be passionate about data, possess excellent problem-solving skills, and be able to work effectively in a collaborative environment.

Key Responsibilities
  • Ingest and process data from Salesforce (Investments), Dynamics 365 Coupa (Finance), Workday (HR), Concur (Operations), and external program/partner data (e.g., Health, Education).
  • Build and maintain pipelines in Databricks, DBT, and Snowflake to deliver curated datasets for AI/ML.
  • Design simple, reusable data models to support training and inference.
  • Implement data quality tests, documentation, and lineage in DBT
  • Ensure performance optimization, cost efficiency, and compliance with governance standards.
  • Collaborate with Knowledge Management (AI/Data Science) team to provide feature ready datasets.

Requirements

  • Hands-on experience with Databricks (PySpark/SQL, Unity Catalog), DBT (models, tests, docs), and Snowflake (SQL, performance tuning).
  • Strong background in ETL/ELT pipeline development.
  • Experience with enterprise SaaS systems (Salesforce, D365, Coupa, Workday, Concur).
  • Solid SQL and Python skills; knowledge of data quality frameworks