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Dbt Analytics Jobs in Portland, OR (NOW HIRING)

Developer

Portland, OR · On-site +1

$40 - $45/hr

... dbt, Git, etc.) to develop integrations and data manipulation. ● Analyze complex data structures, identify system issues, and implement solutions. ● Collaborate with cross-functional teams and ...

With relentless innovation in precise positioning, modeling and data analytics, Trimble enables ... dbt. * Exceptional cross-functional leadership skills with a direct, concise, and metric-driven ...

With relentless innovation in precise positioning, modeling and data analytics, Trimble enables ... dbt. * Exceptional cross-functional leadership skills with a direct, concise, and metric-driven ...

AI Engineer, Sr

Newberg, OR · On-site

$140 - $220/hr

SQL for working with structured data used in analytics, forecasting, and model inputs * Technical ... Experience with data pipeline and workflow tools such as Airflow, dbt, or cloud native ...

AI Engineer, Sr

Newberg, OR

$109K - $150K/yr

SQL for working with structured data used in analytics, forecasting, and model inputs * Technical ... Experience with data pipeline and workflow tools such as Airflow, dbt, or cloud native ...

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

SQL for working with structured data used in analytics, forecasting, and model inputs * Technical ... Experience with data pipeline and workflow tools such as Airflow, dbt, or cloud native ...

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Showing results 1-20

Dbt Analytics information

See Portland, OR salary details

$39.8K

$67.8K

$97.6K

How much do dbt analytics jobs pay per year?

As of Sep 3, 2026, the average yearly pay for dbt analytics in Portland, OR is $67,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,200.00 and $75,300.00 per year, depending on experience, location, and employer.

What is a dbt analytics?

A dbt Analytics job typically refers to a role focused on using dbt (data build tool) to transform, test, and document data within a data warehouse. Professionals in this field design and manage data models, write SQL-based transformations, and ensure data quality for analytics purposes. They collaborate with data engineers and analysts to build efficient, maintainable workflows that support business intelligence and data-driven decision-making. dbt Analytics jobs require strong SQL skills, familiarity with modern data stack tools, and an understanding of data modeling best practices.

What are the key skills and qualifications needed to thrive as a dbt analytics professional?

To thrive as a DBT Analytics professional, you need strong SQL skills, a solid understanding of data modeling, and experience with analytics engineering, typically backed by a degree in a quantitative field. Familiarity with the DBT (Data Build Tool) platform, cloud data warehouses like Snowflake or BigQuery, and version control systems such as Git is essential. Attention to detail, problem-solving abilities, and effective communication help you collaborate with stakeholders and ensure data reliability. These skills and tools are crucial for transforming raw data into actionable insights and maintaining robust, scalable analytics infrastructure.

How does a dbt analytics professional typically collaborate with data engineers and analysts within a team?

Dbt Analytics professionals play a key role in bridging the work of data engineers and data analysts. They transform raw data into clean, well-documented, and analysis-ready datasets using dbt (data build tool), ensuring consistency and reliability. Collaboration often involves working closely with data engineers to understand data sources and pipelines, while also partnering with analysts to tailor data models to business needs. Effective communication and regular feedback loops are crucial, as dbt professionals often serve as the link between technical data infrastructure and business-facing analysis.

What is the difference between Dbt Analytics vs Data Analyst?

AspectDbt AnalyticsData Analyst
Required CredentialsSQL, data modeling, analytics certificationsStatistics, Excel, SQL, sometimes certifications
Work EnvironmentData teams, analytics platforms, cloud environmentsBusiness units, reporting tools, spreadsheets
Industry UsageData transformation, modeling, analytics pipelinesData interpretation, reporting, insights

While Dbt Analytics focuses on transforming and modeling data within analytics workflows, Data Analysts primarily interpret data and generate reports. Both roles require SQL skills and work closely with data teams, but Dbt Analytics emphasizes data transformation using tools like dbt, whereas Data Analysts focus on analyzing and communicating insights.

Is dbt in demand?

Dbt analytics engineers are increasingly in demand as organizations 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, which is growing alongside the broader data analytics industry.

What are popular job titles related to Dbt Analytics jobs in Portland, OR?

For Dbt Analytics jobs in Portland, OR, the most frequently searched job titles are:

What cities near Portland, OR are hiring for Dbt Analytics jobs?

Cities near Portland, OR with the most Dbt Analytics job openings:

Infographic showing various Dbt Analytics job openings in Portland, OR as of August 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $67,770 per year, or $32.6 per hour.

Senior Software Engineer (Python, DBT, ETL)

RevSpring Inc

Portland, OR • Remote

$129K - $171K/yr

Full-time

Re-posted yesterday


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.