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Dbt Analytics Jobs in Oregon (NOW HIRING)

TEKsystems

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 ...

TEKsystems

Developer

Portland, OR · On-site +1

... 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 ...

Upstart

Staff Data Analyst, Servicing

OR · On-site +1

$61K - $81K/yr

The Team: Upstart's Servicing Analytics team plays a critical role of providing analytical ... DBT, Looker, Snowflake, Redshift, Tableau, Mode * Degree in Economics, Statistics, Mathematics ...

Hex Technologies

Data Person

OR · On-site +1

$153K - $204K/yr

Note that this is a full stack data role , which will require both data analysis and modeling data in dbt. We are not expecting you to be an expert in both, and being stronger in either background is ...

Tempus

Senior Data Analyst

OR · On-site +1

$90K - $125K/yr

Develop clinical data models using dbt and SQL based on business need and interoperability between existing data models, analysis requirements and data delivery requirements * Develop reports for ...

Autodesk

Data Scientist, FP&A Solutions

OR · On-site +1

This role sits at the intersection of finance, data science, and analytics engineering. The Data ... Familiarity with Snowpark for Python, dbt, orchestration tools, or modern data-engineering ...

NinjaTrader

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

Develop dbt workflows to onboard Evaluation Partners and create end-of-day reporting for partner analysis * Build and support event-driven architectures and scalable platform components * Contribute ...

OneStudyTeam

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

Build and optimize data pipelines and analytical workflows using tools like AWS Athena, Redshift, SageMaker, and dbt, enabling scalable model training and deployment. * Regulatory Compliance in Data ...

Imagine Pediatrics

Business Intelligence Engineer

OR · On-site +1

$115K - $145K/yr

Strong SQL skills and the ability to build analytic tools quickly to generate actionable insights from large-scale data in Snowflake or similar cloud data warehouses * Strong dbt for data modeling ...

Human Interest

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

Our stack includes Snowflake, dbt, Airflow, Meltano, and Terraform on AWS. We're a small, highly collaborative team embedded within the HI Tech organization, working closely with Analysts, Finance ...

Fuze Health

Senior Manager, Data Engineering

OR · On-site +1

Provide a robust, well-governed platform foundation that enables Analytics to build and manage transformation logic within dbt, while enforcing standards for performance, testing, deployment ...

Modivcare, Inc.

MDM Architect

OR · On-site +1

$80K - $81K/yr

... analytics, AI-driven decision-making, and digital transformation. You will lead the design and ... Leverage dbt capabilities including data testing, schema validation, referential integrity ...

BuyWander

Pricing & Inventory Analyst

Portland, OR · On-site

Experience with product or pricing data at scale (e-commerce, marketplace, or retail analytics ... Metabase or comparable BI-tool administration; dbt or similar transformation tooling * Experience ...

Upstart

Senior Software Engineer - Capital Insights

OR · On-site +1

$122K - $161K/yr

Hands-on experience with data pipelines or analytical data stores, such as Airflow, Spark, dbt, ClickHouse / Snowflake / BigQuery / Redshift, or equivalent technologies * Experience owning systems ...

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Showing results 21-40

All JobsDbt Analytics JobsDbt Analytics Jobs in Oregon

Dbt Analytics information

See Oregon salary details

$39.6K

$67.6K

$97.3K

How much do dbt analytics jobs pay per year?

As of Sep 6, 2026, the average yearly pay for dbt analytics in Oregon is $67,564.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,000.00 and $75,100.00 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 Oregon?

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

What job categories do people searching Dbt Analytics jobs in Oregon look for?

The top searched job categories for Dbt Analytics jobs in Oregon are:

What cities in Oregon are hiring for Dbt Analytics jobs?

Cities in Oregon with the most Dbt Analytics job openings:

Dbt Analytics jobs near you
Infographic showing various Dbt Analytics job openings in Oregon as of July 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $67,564 per year, or $32.5 per hour.

Senior Software Engineer- Big Data & MCP, Data Foundations

RevSpring Inc

Portland, OR • On-site

$59 - $78.25/hr

Full-time

Re-posted 9 days ago

Job description

Job Title: Senior Software Engineer- Big Data amp; MCP, Data Foundations
Job Summary:
Essential Functions:
  • Collaborate and Innovate: Partner with product managers, data engineers, and business leaders to translate complex product and data requirements into scalable, reliable data pipelines and the search experiences they power.
  • Architect Data Pipelines: Design, build, and optimize large-scale distributed batch and streaming pipelines (using Apache Airflow, Apache Beam/Dataflow, and DBTon BigQuery) to ingest, model, and transform high-volume healthcare data into clean, well-tested, query-ready datasets and search indices.
  • Build Data Models amp; Backend Services: Develop resilient Python services and DBT models that power data delivery and self-service analytics, including Model Context Protocol (MCP) servers that expose curated data and tooling to downstream and AI consumers, and integrate with external REST/SOAP APIs and third-party data sources.
  • Optimize Data amp; Search Performance: Deeply tune pipeline throughput, data warehouse performance, and search indexing — optimizing BigQuery cost and query performance and Elasticsearch index design to ensure data freshness, relevance, and scalability across high-volume datasets.
  • Drive Engineering Excellence: Write clean, maintainable, well-tested code and lead by example through rigorous code reviews, architectural and data-modeling design discussions, and mentoring, driving a culture of high-quality software and trustworthy data.
  • Pioneer New Technologies: Stay at the forefront of modern data engineering, the analytics-engineering ecosystem (e.g., DBT, BigQuery), and information retrieval, proactively applying these advancements to strengthen our data platform and the products it powers.
Minimum Requirements:
Specific Job Skills:
  • Data Engineering: Proven experience designing and orchestrating large-scale ETL/ELT pipelines using Apache Beam/Google Cloud Dataflow (or similar), and DBT, built on modern cloud data warehouses. BigQuery experience is a plus.
  • Databases amp; SQL: 4+ years of experience working with relational databases and analytical data warehouses, with deep, advanced SQL skills and solid data-modeling fundamentals (e.g., dimensional and normalized modeling).
  • Search amp; Indexing: Working experience with search indexing and Elasticsearch, including index management, mappings, and building and maintaining search indices from pipeline output. Familiarity with hybrid (BM25 + semantic/vector) search is a plus.
  • Backend amp; Data Services: Experience building scalable Python services and high-performance data APIs, including developing Model Context Protocol (MCP) servers that expose data and tooling to downstream and AI consumers.
  • Infrastructure amp; DevOps: Strong understanding of containerization (Docker), CI/CD methodologies (e.g., GitHub Actions), Git, Infrastructure as Code (e.g., Terraform/Pulumi), and managing services within cloud platforms (3+ years of GCP experience preferred).
  • Familiarity with healthcare data standards (e.g., NPPES/NPI registries, NUCC Provider Taxonomy, machine-readable files (MRFs) for cost transparency, and FHIR).
  • Experience with data quality and pipeline testing frameworks (e.g., dbt tests, Great Expectations) and streaming/event ingestion (e.g., Pub/Sub, Kafka).
  • Experience integrating graph-based data and healthcare taxonomy ontologies to enrich datasets and search query context.
  • Experience with observability and logging platforms (e.g., DataDog) for monitoring pipeline health and data freshness.
Education: Bachelor’s Degree
Experience: 5+ years of professional experience with Python, with strong software-engineering fundamentals (testing, code review, design). 3+ years experience with Java or another JVM language is also high desired, particularly for Beam/Dataflow.
Supervision: N/A
Certifications: N/A
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 accommodations 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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