1

Senior Analytics Engineer Jobs in Oregon (NOW HIRING)

OR

$135K - $225K/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 ...

OR · On-site

$330K - $566K/yr

We are looking for a Senior Analytics Engineer to join our Games DSE team to lead the design and implementation of robust data architectures and analytical toolings. This role will partner closely ...

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 ...

Sr. Data Analytics Engineer

OR · 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 ...

OR · On-site

$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 ...

OR · On-site

$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 product experiments.

Sr. Data Analytics Engineer

OR · On-site +1

$107K - $128K/yr

Work closely with Enterprise Data Analysts, Data Platform Engineers, Data Governance Team within ... Project Lead, Senior Software Engineer, Software Engineer, etc.). * 2 years of experience ...

Sr. Data Analytics Engineer

OR · On-site

$107K - $128K/yr

Work closely with Enterprise Data Analysts, Data Platform Engineers, Data Governance Team within ... Project Lead, Senior Software Engineer, Software Engineer, etc.). * 2 years of experience ...

Senior Business Intelligence Analytics Engineer

OR · 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 · On-site

$330K - $566K/yr

We're looking for a Senior Analytics Engineer to join our team - someone who combines deep technical craft with strong business partnership and a product mindset. In this role, you will: Be a ...

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 ...

Define the Business Analytics Engineering roadmap and communicate priorities and progress to senior leadership. * Champion data governance, lineage, and trust - ensuring business stakeholders always ...

$104K - $143K/yr

... a Senior Engineer to Join our Team in a Remote capacity . At ICI Services, our employee-owners ... Our diverse team of acquisition experts, financial analysts, engineers, logisticians, IT ...

... Data Engineers, and Technical Data Analysts; strengthen the broader analyst community through ... and senior business leaders. • Experience building and scaling Centers of Excellence or ...

... Data Engineers, and Technical Data Analysts; strengthen the broader analyst community through ... and senior business leaders. • Experience building and scaling Centers of Excellence or ...

... Data Engineers, and Technical Data Analysts; strengthen the broader analyst community through ... and senior business leaders. • Experience building and scaling Centers of Excellence or ...

We are looking for a Director, Enterprise Data and Analytics to own this capability as a function and partner with technology engineering to deliver it. This is a senior, hands-on leadership role.

Job Summary The Senior Director, Data & Analytics is a strategic enterprise leader responsible for ... Builds and develops a high-performing team of Data Architects, Data Engineers, and Technical Data ...

next page

Showing results 1-20

Senior Analytics Engineer information

See Oregon salary details

$62.9K

$133.8K

$194K

How much do senior analytics engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for senior analytics engineer in Oregon is $133,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $151,700.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior Analytics Engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in data modeling, SQL, and tools like Python or Spark, and working in high-demand industries or companies. Compensation varies based on location, company size, and individual expertise, often including bonuses and stock options.

What is a Senior Analytics Engineer?

A Senior Analytics Engineer is a data professional who bridges the gap between data engineering and data analysis. They design, build, and maintain data pipelines, data models, and analytics infrastructure to ensure that data is reliable, accessible, and well-structured for analysis. Typically, they work with tools like SQL, dbt, and cloud data warehouses, collaborating closely with data analysts and business stakeholders to deliver actionable insights. Their role often involves optimizing data workflows, implementing best practices, and mentoring junior team members.

What does a senior analytics engineer do?

A senior analytics engineer designs, develops, and maintains data pipelines and analytics solutions to support business decision-making. They work with large datasets, use tools like SQL, Python, or cloud platforms, and often collaborate with data scientists and business teams to ensure data accuracy and accessibility.

How much do senior analytics engineers make?

Senior analytics engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often have expertise in data modeling, SQL, and analytics tools like Tableau or Looker, which can influence salary levels.

What is the difference between Senior Analytics Engineer vs Data Engineer?

AspectSenior Analytics EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, Analytics, or related; SQL, Python, data visualization skillsBachelor's/Master's in CS, Data Engineering, or related; SQL, Python, ETL tools skills
Work EnvironmentFocus on data analysis, reporting, and insights; collaborates with data teams and business unitsFocus on data pipeline development, infrastructure, and storage; works closely with data infrastructure teams
Employer & Industry UsageUsed across tech, finance, healthcare, and retail for analytics rolesCommon in tech, finance, and data-driven industries for building data systems

While both roles require strong SQL and Python skills, Senior Analytics Engineers primarily focus on analyzing data, creating reports, and deriving insights for business decisions. Data Engineers build and maintain the data infrastructure, pipelines, and storage systems. The roles often collaborate but serve different functions within data teams.

What are the key skills and qualifications needed to thrive as a Senior Analytics Engineer, and why are they important?

To thrive as a Senior Analytics Engineer, you need strong expertise in data modeling, SQL, data warehousing, and analytics, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools such as dbt, Python, cloud data platforms (like Snowflake or BigQuery), and experience with BI tools are commonly required, along with certifications in analytics or cloud technologies being a plus. Excellent problem-solving, communication, and stakeholder management skills help you translate business requirements into robust data solutions. These skills ensure data integrity, drive actionable insights, and support effective decision-making across the organization.

What engineer makes $500,000 a year?

Senior Analytics Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in data modeling, SQL, and cloud platforms, and roles in high-paying industries or companies. Such compensation often includes base salary, bonuses, and stock options, typically in senior or executive-level positions.

How does a Senior Analytics Engineer typically collaborate with data scientists and business stakeholders?

Senior Analytics Engineers play a vital role in bridging the gap between raw data and actionable insights. They work closely with data scientists to ensure that data pipelines and models are robust, scalable, and well-documented. Additionally, they frequently meet with business stakeholders to understand reporting needs and translate them into technical requirements, ensuring that analytics solutions align with organizational goals. This collaborative approach helps maintain data quality and accelerates the delivery of meaningful analyses across teams.
What are the most commonly searched types of Analytics Engineer jobs in Oregon? The most popular types of Analytics Engineer jobs in Oregon are:
What cities in Oregon are hiring for Senior Analytics Engineer jobs? Cities in Oregon with the most Senior Analytics Engineer job openings:
Senior Analytics Engineer

$135K - $225K/yr

Other

Medical, Dental, Vision

Posted 4 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.

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 - $225,000 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.