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Analytics Engineer Remote Dbt Jobs in Oregon (NOW HIRING)

Senior Analytics Engineer

OR · On-site +1

$135K - $188K/yr

Advanced SQL and hands-on experience with dbt or a comparable transformation framework (models ... data engineering * CI/CD for analytics code (e.g., dbt tests running on PRs via GitHub Actions ...

Enterprise Performance Analytics Engineer

OR · On-site +1

$80K - $110K/yr

How This Role Makes a Difference The Enterprise Performance Analytics Engineer will support the ... Remote within the United States. This role requires 100% of work to be performed in a remote office ...

Sr. Data Analytics Engineer

OR · On-site +1

$107K - $128K/yr

... dbt as a data orchestration tool. * 2 years of experience working in CICD framework. * 2 years of ... Up to 100% Remote; position may be performed from anywhere in the US + Up to 10% domestic and ...

Build dbt models and curated marts in Snowflake with clear data contracts, tests, and SLOs ... About You Minimum Qualifications * 3-6 years in analytics engineering, data science, or applied AI ...

Remote-first (United States) * Full-time * Permanent * Exempt * The cash compensation for this role ... Proficiency with SQL, Python, data modeling, ETL/ELT, and cloud warehouses (particularly dbt ...

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. ... Develop dbt workflows to onboard Evaluation Partners and create end-of-day reporting for partner ...

Senior Software Engineer (Remote)

OR · On-site +1

$122K - $161K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Knowledge of production monitoring, incident response, postmortems, and root cause analysis.

Senior Software Engineer (Remote)

Portland, OR · On-site +1

$129K - $171K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Knowledge of production monitoring, incident response, postmortems, and root cause analysis.

Senior Software Engineer (Remote)

Portland, OR · Remote

$129K - $171K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Knowledge of production monitoring, incident response, postmortems, and root cause analysis.

Data Engineer (Remote / Contract)

OR · On-site +1

$114K - $137K/yr

We are looking for a Data Engineer to join our engineering team to help us manage our diverse and ... analysis * You've designed schemas and optimized queries for a data warehouse like BigQuery or ...

Senior Site Reliability Engineer- Remote

OR · On-site +1

$57 - $75.75/hr

... Engineering team. You will be responsible for building and leading processes to ensure the ... You will also own the areas of incident management and response, post-mortem analysis including ...

DevOps Engineer

OR · On-site +1

$52.75 - $72.25/hr

... DevOps Engineer Role - Devops Engineer Remote Position Duration: - 12+ months Skills ... Demonstrate excellent written and verbal skills and ability to clearly articulate ideas, analysis ...

Senior Business Intelligence Engineer

OR · On-site +1

$51 - $66.25/hr

... analytical frameworks. * Design, build, and maintain scalable data pipelines and transformation layers (such as dbt models and ELT workflows) that power dashboards, reports, and ML features.

Senior Staff Software Engineer, Data

OR · On-site +1

$105K - $143K/yr

... of our analytics and data infrastructure. Your work will ensure our data ecosystem is secure ... This is a senior individual contributor role open to remote candidates across the United States.

... engineering and data modeling principles; specifically, experience with DBT (or similar data ... July 31, 2026 #LI-Remote Equal Opportunity Employer Fuze Health is an Equal Opportunity Employer.

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Analytics Engineer Remote Dbt information

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis by building robust and scalable data models, often using tools like dbt (data build tool). In a remote setting, they are responsible for transforming raw data into well-structured datasets that analysts and business users can trust, collaborating with teams via digital communication tools. Their work includes writing SQL code, maintaining data pipelines, documenting data models, and ensuring data quality and consistency. Using dbt, Analytics Engineers automate and manage data transformations, making it easier for organizations to analyze their data efficiently.

How does an analytics engineer working remotely with dbt typically collaborate with data analysts and other stakeholders?

Remote Analytics Engineers utilizing dbt often collaborate closely with data analysts, data scientists, and business stakeholders through virtual meetings, shared documentation, and version-controlled code repositories. They translate business requirements into data models, ensure data quality, and maintain data transformation pipelines. Regular syncs and agile ceremonies, like sprint planning and retrospectives, help keep communication clear and priorities aligned, while tools like Slack, Jira, and GitHub streamline collaboration across distributed teams.

What are the key skills and qualifications needed to thrive as a remote analytics engineer specializing in dbt?

To excel as a Remote Analytics Engineer focusing on dbt, you need strong SQL skills, data modeling expertise, and a background in analytics or computer science. Proficiency in dbt (data build tool), cloud data warehouses like Snowflake or BigQuery, and experience with version control systems such as Git are typically required. Outstanding problem-solving, communication, and collaboration skills make candidates stand out in remote and cross-functional environments. These competencies ensure efficient data pipeline development, reliable analytics solutions, and effective teamwork, which are crucial for delivering high-quality insights remotely.

What is the difference between Analytics Engineer Remote Dbt vs Data Engineer?

AspectAnalytics Engineer Remote DbtData Engineer
CredentialsSQL, Python, cloud platforms, Dbt certificationsSQL, Python, cloud platforms, data architecture certifications
Work EnvironmentRemote, collaborative with data teams, focus on analytics and data modelingOn-site or remote, infrastructure and pipeline development, focus on data systems
Industry UsageTech, finance, e-commerce, marketingTech, finance, healthcare, telecom

Analytics Engineer Remote Dbt professionals focus on building and maintaining data models using tools like Dbt, primarily supporting analytics and business insights. Data Engineers develop and manage data pipelines and infrastructure, often working on larger data systems. While both roles require SQL and cloud experience, Analytics Engineers emphasize data modeling and analytics, whereas Data Engineers focus on data architecture and pipeline development.

What are popular job titles related to Analytics Engineer Remote Dbt jobs in Oregon?

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

What cities in Oregon are hiring for Analytics Engineer Remote Dbt jobs?

Cities in Oregon with the most Analytics Engineer Remote Dbt job openings:

Infographic showing various Analytics Engineer Remote Dbt job openings in Oregon as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Senior Analytics Engineer

OR • On-site, Remote

Pantheon Systems, Inc
201 - 500 employees

$135K - $188K/yr

Full-time

Medical, Dental, Vision

Re-posted 17 days ago


Job description

About Pantheon

Pantheon WebOps Platform powers the open web, running more than 300,000 sites in the cloud for customers including Google, Princeton, Salesloft and Doctors Without Borders. Every day, thousands of developers and marketers create, iterate, and scale WordPress and Drupal sites to reach billions of people globally. Pantheon's multitenant, container-based platform enables organizations to manage all of their websites from a single dashboard. Organizations including Clorox and the United Nations drive results through accelerated development and real-time publishing using Pantheon's collaborative workflows. 

The Role

Senior Analytics Engineer

The Analytics Engineering team owns how Pantheon's data becomes trusted, self-serve insight - from the data models built on our raw source tables to the semantic layer the whole company consumes. Sitting close to the business (under Finance), you'll own a domain end-to-end and act as a partner who turns business questions into the right data models.

What You Need to Succeed 

  • Own the analytics modeling lifecycle for a business domain (GTM / Lead-to-Customer or Post-Sales) - build and maintain dbt models and business marts on top of our source data in Snowflake.
  • Develop and maintain the semantic layer that powers our BI platform.
  • Partner directly with stakeholders across Finance, Sales, Marketing, CS, and RevOps to translate ambiguous business questions into the right model - prescribing or designing one when none exists.
  • Define, document, and enforce consistent metric definitions and segmentation across the org (e.g., customer lifecycle stages, production lifecycle, ARR), establishing whether each lives in dbt or the semantic layer so metrics aren't defined twice.
  • Build trustworthy self-serve data products so business partners can answer routine questions without help.
  • Collaborate with the Data Platform team where raw data is handed off - specify and request new sources, validate data, and raise quality issues upstream.

What You Bring to the Table

  • 6-8 years of overall experience in analytics, data engineering, or a related field, including at least 4 years specifically in analytics engineering.
  • Advanced SQL and hands-on experience with dbt or a comparable transformation framework (models, tests, documentation)
  • Cloud data warehouse experience, ideally Snowflake
  • BI / semantic-layer modeling experience, ideally Looker (LookML) or Omni
  • Strong dimensional/data-modeling fundamentals (Kimball design, star schema)
  • Proven ability to translate business questions into data models - strong business acumen and stakeholder communication
  • Comfortable with git and a modern analytics development workflow (branch-based PRs and code review)

Bonus Qualifications

  • SaaS finance fluency - ARR, MRR, NRR (especially valuable given we sit under Finance)
  • Depth in GTM/RevOps data (Salesforce) or post-sales/CS data (Zendesk), depending on the domain
  • Familiarity with AI- or natural-language-driven analytics
  • Exposure to orchestration (Airflow), reverse ETL, or working alongside data engineering
  • CI/CD for analytics code (e.g., dbt tests running on PRs via GitHub Actions)

What We Offer

We have all the usual perks and benefits but what we can really offer you is a fantastic work environment powered by an amazing team.

  • Industry competitive compensation and equity plan
  • Flexible time off, sick days, and 13 paid holidays
  • Comprehensive medical insurance including Health, Dental and Vision
  • Paid parental leave (plus fertility, adoption and other family planning benefits)
  • In-office workspace (San Francisco & Chicago)
  • Monthly allowance for wellness, reading and access to LinkedIn Learning for continued development
  • Events and activities both team-based and company wide that inspire, educate and cultivate

Pantheon is an equal opportunity employer and we welcome applications from all backgrounds regardless of race, color, religion, sex, national origin, ancestry, age, marital status, sexual orientation, gender identity, veteran status, disability, or any other classification protected by law. Pantheon complies with federal and local disability laws and makes reasonable accommodations for applicants and employees with disabilities. If you need a reasonable accommodation due to a disability for any part of the interview process, please contact talent@pantheon.io. Pursuant to local and federal regulations, Pantheon will consider qualified applicants with arrest and conviction records for employment.

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Visa Sponsorship is not available at this time.
The US base salary range for this position in the United States is $135,000 - $188,000 USD per year. Our salary ranges are determined by role, level, and location. At Pantheon, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.