1

Analytic Engineer Jobs in Oregon (NOW HIRING)

OR ยท On-site

$135K - $188K/yr

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 ...

Enterprise Performance Analytics Engineer

OR ยท Remote

$80K - $110K/yr

How This Role Makes a Difference The Enterprise Performance Analytics Engineer will support the development and maintenance of our analytics infrastructure, working closely with the data analysts ...

OR

$180K - $200K/yr

You will partner closely with Analytics Engineers, Product Engineers and Platform Engineers to deliver a platform built for a high-growth, mission-driven healthcare organization. This role requires ...

About the Role We're looking for a Director of Business Analytics Engineering to lead and grow the data modeling function within our Business Data & Analytics organization - a player/coach who ...

OR

$167K - $249K/yr

Meet Your Future Neighbors In the Analytics Engineering team at Nextdoor, we believe in the transformative power of information, bringing together data from a wide variety of sources and making it ...

Software Engineer 5 - Platform Data Products

OR ยท On-site +1

$388K - $558K/yr

We're looking for a full stack engineer to join our diverse team of analytics, data, and software engineers. In this role, you will focus on building products that enable Netflix to improve the ...

New

Senior Business Intelligence Analytics Engineer

OR ยท On-site +1

$51 - $66.25/hr

The Senior BI Analytics Engineer is a core technical role in Jamf's data organisation. You'll own the design and delivery of trusted data models across the Jamf Data Platform, from source-aligned ...

OR ยท On-site

$51 - $66.25/hr

We architect scalable data pipelines, optimize analytical workflows, and deliver reliable, high ... The Business Intelligence Engineer plays a vital role in driving our data and analytics ...

Manufacturing Engineer II

Tualatin, OR ยท On-site

$80K - $105K/yr

Ascentec Engineering is hiring a Manufacturing Engineer II to serve as an experienced technical ... Lead root cause analysis investigations for quality escapes and process failures * Develop and ...

OR

$104K - $142K/yr

Partner with SQL developers, analytics engineers, and BI teams to operationalize scalable datasets, transformation logic, reporting tables, and analytical data models that support downstream ...

Senior Data Engineer

$105K - $150K/yr

SKILLS & COMPETENCIES Coach and mentor the Analytics Engineering team: guiding, planning, and reviewing the team's work. Collaborate with senior management to define and execute the company's data ...

Sr. Data Analytics Engineer

OR ยท On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will ...

Sr. Data Analytics Engineer

OR ยท On-site

$107K - $128K/yr

Work closely with Enterprise Data Analysts, Data Platform Engineers, Data Governance Team within Enterprise Data. Management Organization to help define, develop and implement solutions and provide ...

Sr. Data Analytics Engineer

OR ยท On-site +1

$107K - $128K/yr

Work closely with Enterprise Data Analysts, Data Platform Engineers, Data Governance Team within Enterprise Data. Management Organization to help define, develop and implement solutions and provide ...

OR

$330K - $566K/yr

As a Senior Analytics Engineer, you'll design metrics, generate insights by scoping and executing deep dive analysis, and provide recommendations from a rigorous evaluation of advertiser measurement ...

next page

Showing results 1-20

Analytic Engineer information

See Oregon salary details

$41.2K

$107.6K

$145.4K

How much do analytic engineer jobs pay per year?

As of Aug 2, 2026, the average yearly pay for analytic engineer in Oregon is $107,581.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $123,200.00 per year, depending on experience, location, and employer.

What is the difference between Analytic Engineer vs Data Engineer?

AspectAnalytic EngineerData Engineer
CredentialsTypically requires a degree in data science, statistics, or related fields; often certifications in SQL, Python, or cloud platformsRequires a degree in computer science, software engineering, or related fields; certifications in cloud services, SQL, and data pipeline tools
Work EnvironmentFocuses on analyzing data, building data models, and creating dashboards; collaborates with data scientists and business teamsBuilds and maintains data pipelines, databases, and infrastructure; works closely with data engineers and software developers
Industry UsageCommonly found in analytics teams, business intelligence, and data-driven decision-making rolesPrimarily in data infrastructure, big data projects, and data platform development

In summary, Analytic Engineers focus on transforming data into insights through analysis and modeling, while Data Engineers build the infrastructure to support data collection and storage. Both roles are essential in data teams but serve different functions within the data ecosystem.

Are analytic engineers in demand?

Analytic engineers are in high demand due to the increasing reliance on data-driven decision making across industries. They typically require skills in data modeling, SQL, and tools like Python or Spark, and often find opportunities in technology, finance, and healthcare sectors.

What does an analytics engineer do?

An analytics engineer designs, builds, and maintains data pipelines and infrastructure to enable accurate data analysis. They often work with tools like SQL, Python, and data warehouses, ensuring data quality and accessibility for data teams and stakeholders.

How much do analytics engineers make?

Analytics engineers in Chicago typically earn a median salary ranging from $90,000 to $120,000 annually, depending on experience, skills, and certifications. Salaries can vary based on company size, industry, and the complexity of data infrastructure managed, with higher compensation often associated with proficiency in SQL, Python, and data pipeline tools.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. These roles often require expertise in programming, cloud platforms, and sometimes management responsibilities or stock options.
What are popular job titles related to Analytic Engineer jobs in Oregon? For Analytic Engineer jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Analytic Engineer jobs? Cities in Oregon with the most Analytic Engineer job openings:
Infographic showing various Analytic Engineer job openings in Oregon as of July 2026, with employment types broken down into 87% Full Time, 10% Part Time, 2% Contract, and 1% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $107,581 per year, or $51.7 per hour.

Senior Analytics Engineer

Pantheon Systems, Inc

OR โ€ข On-site

$135K - $188K/yr

Other

Medical, Dental, Vision

Posted 22 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.ย 

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 Succeedย 

  • 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.

After an offer is made and accepted, E-verify will be utilized to establish your identity and employment eligibility as required by the U.S. Department of Homeland Security.

To review the Employee and Applicant's Privacy Policy, click here.

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.