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Senior Algorithm Engineer Jobs in Oregon (NOW HIRING)

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

We are looking for a Senior Data Engineer to take ownership of this massive daily ingestion engine ... Our revenue management algorithms rely entirely on the daily calendar sync of these 14 million ...

Two (24) months of experience in algorithms and data structures. * Two (24) months of experience in a programming language such as Python. * Two (24) months of experience in database and querying ...

New

As a Sr. Hadoop developer you will work with a variety of talented client team mates and be a ... tuning, algorithms and computational complexity • Experience (at least familiarity) with data ...

Senior Software Engineer, Site Reliability

OR · On-site +1

$57 - $75.75/hr

As a Senior Software Engineer focused on Site Reliability Tooling , your work will directly impact ... Fundamentally sound with data structures & algorithms * Experience with on-call and incident ...

KLA Israel is located in the Migdal Haemek Industrial Park. /Preferred Qualifications Senior ... Develop deep technical expertise across hardware, software, and algorithms, aligned with customer ...

KLA Israel is located in the Migdal Haemek Industrial Park. /Preferred Qualifications Senior ... Develop deep technical expertise across hardware, software, and algorithms, aligned with customer ...

KLA Israel is located in the Migdal Haemek Industrial Park. /Preferred Qualifications Senior ... Develop deep technical expertise across hardware, software, and algorithms, aligned with customer ...

Job Role: Sr. AWS cloud Developer Duration: 12+ months Location: Beaverton, OR Position Type ... structures, algorithms, object-oriented programming, MVC architecture, and design patterns ...

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

Support projects to build algorithms that intelligently match patients to (or rank patients for ... Work closely with machine learning engineers, product managers, and other stakeholders to integrate ...

Senior Density Fill Development Engineer

Hillsboro, OR · On-site

$113K - $156K/yr

Provide algorithmic solutions using tools such as Calibre, ICV, and Pegasus to address density deficiencies and ensure manufacturability compliance. * Collaborate with process developers, design rule ...

Senior Calibration Engineer

Tualatin, OR · On-site

$161K - $284K/yr

... engineering team. This role offers the opportunity to work with cutting-edge Automated Test ... Develop advanced calibration algorithms for precision measurement and instrumentation subsystems.

... algorithms and data structures; 2 years (24 months) of experience in programming language such as Python; 2 years (24 months) of experience in database and querying languages such as SQL; 2 years (24 ...

Showing results 41-60

Senior Algorithm Engineer information

See Oregon salary details

$62.9K

$133.8K

$194K

How much do senior algorithm engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for senior algorithm 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 does a senior algorithm engineer do?

A Senior Algorithm Engineer is responsible for designing, developing, and optimizing complex algorithms that solve technical problems or enhance product performance. They often work with large datasets, machine learning models, or mathematical techniques to create efficient solutions. In addition to coding, they may collaborate with cross-functional teams, review the work of junior engineers, and help set the technical direction for algorithm development projects. Their expertise ensures that products and systems run efficiently and accurately.

What are the key skills and qualifications needed to thrive as a senior algorithm engineer, and why are they important?

To thrive as a Senior Algorithm Engineer, you need advanced proficiency in mathematics, computer science, and algorithm design, usually supported by a relevant degree and extensive experience in the field. Expertise with programming languages such as Python or C++, proficiency with machine learning libraries, and familiarity with version control systems like Git are commonly required. Strong problem-solving skills, attention to detail, and the ability to communicate complex ideas clearly help set top candidates apart. These skills are crucial for developing robust, efficient solutions and collaborating effectively on challenging technical projects.

What are some common challenges faced by senior algorithm engineers when deploying algorithms into production environments?

Senior Algorithm Engineers often encounter challenges such as ensuring that algorithms are both scalable and efficient when integrated into real-time systems. Balancing model accuracy with computational resource constraints is a frequent task, as well as addressing data inconsistencies and managing version control for iterative algorithm updates. Collaboration with software engineers and data engineers is essential to ensure smooth deployment, monitor performance, and quickly resolve any production issues. Staying updated with the latest frameworks and best practices also helps in overcoming these challenges.

What is the difference between Senior Algorithm Engineer vs Data Scientist?

AspectSenior Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, EE, or related; strong math and programming skillsBachelor's or Master's in CS, Statistics, or related; strong analytical and programming skills
Work EnvironmentDevelops algorithms for software, hardware, or embedded systems in tech companiesAnalyzes data to extract insights, often in tech, finance, or healthcare sectors
Industry UsageCommon in AI, robotics, and software developmentPrevalent in analytics, machine learning, and business intelligence

While both roles require strong programming and analytical skills, Senior Algorithm Engineers focus on designing and optimizing algorithms for technical systems, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in AI and machine learning projects but serve different primary functions within organizations.

What are the most commonly searched types of Algorithm Engineer jobs in Oregon?

The most popular types of Algorithm Engineer jobs in Oregon are:

What cities in Oregon are hiring for Senior Algorithm Engineer jobs?

Cities in Oregon with the most Senior Algorithm Engineer job openings:

Infographic showing various Senior Algorithm Engineer job openings in Oregon as of August 2026, with employment types broken down into 87% Full Time, 6% Part Time, 6% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $133,807 per year, or $64.3 per hour.

Senior Data Engineer

Wheelhouse

OR • On-site, Remote

$105K - $143K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago


Job description

 
Job Description
Wheelhouse is a revenue management platform for the $500B+ flex rental space. Our technology empowers short & mid-length stay operators, who manage single-family homes, apartment buildings, and (in some cases) hotels - a broad & massive addressable market. Wheelhouse believes a more flexible & connected world is both inevitable & important, and we build technology to make sure the businesses that enable this lifestyle & society can thrive.
 
As a team, we enjoy shipping products our customers love, on time or ahead of schedule, while balancing work/life & having fun together. We're best described as transparent & collaborative, and we strive to set our teammates up for success - both professionally & personally. We're a remote-first, work-anywhere, and "yes - you should make time for that adventure/vacation" company, who believes that "healthy hustle" is the key to good growth.
 
At our core, we process massive amounts of data to give our clients a competitive edge. We track calendar data for over 14 million listings worldwide, ingesting the future calendar of availability and pricing for every single listing, every single day. This translates to a multi-terabyte, highly dynamic dataset.
 
We are looking for a Senior Data Engineer to take ownership of this massive daily ingestion engine. Working within a Ruby on Rails and Resque environment, backed by AWS RDS Postgres and Aurora as well as Athena, you will ensure our data pipelines are robust, scalable, and highly optimized. You will not only supervise and improve our existing daily ingestion but also design systems to integrate new data sources and seamlessly deliver this data to our core application.
 
Your mission is to guarantee the reliability, speed, and scale of our data infrastructure. You will be the technical guardian of our multi-terabyte dataset, ensuring that as we grow to track even more listings and add new data sources, our ingestion engine scales gracefully and cost-effectively without missing a beat. Our revenue management algorithms rely entirely on the daily calendar sync of these 14 million listings to price our clients' properties accurately. If our data pipelines slow down or fail, our core product cannot function.
 
We're looking for someone who:
Works independently and takes ownership: You don't wait to be told what to optimize. You treat the data infrastructure as your own product, proactively identifying areas for improvement and driving them to completion.
Thinks in systems: You understand that scaling isn't just about writing faster code; it's about how Resque, PostgreSQL, and our AWS infrastructure interact. You see the big picture and understand the cascading effects of your changes.
Stays calm under pressure: Because this daily data sync is our lifeblood, pipeline hiccups are critical. You can troubleshoot complex, multi-terabyte issues methodically and keep a cool head when the pressure is on.
Communicates technical concepts clearly: You can easily translate complex data engineering constraints and architecture decisions into plain language for the wider engineering and product teams.
Values pragmatism over perfection: You know when to invest in an elegant, long-term architectural solution, and when the business just needs a robust, practical fix to keep the daily sync running smoothly.
Is obsessed with observability: You believe a system isn't finished until it's properly monitored. You build alerts and dashboards to catch anomalies and bottlenecks before they ever impact our clients.
Is super detail oriented: You intrinsically see that certain data problems can be needles in haystacks and you are process driven to build safeguards to flag the vast majority of issues before our customers notice the same.
What you'll be doing
  • Architect, optimize, and supervise the daily ingestion pipelines that process calendar data for 14+ million listings.
  • Tune and scale our AWS RDS PostgreSQL and Aurora databases to handle extreme high-throughput read/write operations and multi-TB storage.
  • Optimize background job orchestration to ensure timely and efficient data processing.
  • Design and build robust ETL processes to integrate new, complex data sources into our ecosystem.
  • Collaborate with application engineers to make diverse versions and aggregations of our data easily accessible to the core application.
  • Apply DevOps best practices to maintain and improve our AWS infrastructure, CI/CD pipelines, and infrastructure-as-code.
  • Build comprehensive monitoring, alerting, and observability tooling to catch data bottlenecks before they impact the business.
Requirements
  • 5+ years of Data Engineering or Backend Engineering experience, specifically dealing with massive, high-velocity datasets (multi-TB scale) and 10+ years overall engineering experience at technology companies.
  • Deep database expertise: Advanced knowledge of relational databases, specifically PostgreSQL and AWS Aurora. You must know how to tune databases, optimize complex queries, and manage large-scale indexing.
  • Strong programming skills: Proficiency in Ruby and Ruby on Rails (or a strong willingness to learn, backed by expert-level experience in a similar language like Python) to navigate our core stack.
  • Job Orchestration: Experience with background processing frameworks at scale (Resque, Sidekiq, Celery, or similar).
  • DevOps & Cloud: Hands-on experience with AWS cloud services, infrastructure provisioning (Terraform/CloudFormation), and CI/CD pipelines.
  • Data Modeling: Strong ability to design data models that balance fast ingestion with efficient application querying.
  • Problem Solver: A track record of identifying performance bottlenecks in complex distributed systems and implementing elegant solutions.
  • Remote DNA: Demonstrated ability to work autonomously, communicate asynchronously, and manage your own "healthy hustle."
Why Join Us
  • Own the big data pipelines in a fast-growing SaaS company.
  • Directly improve the reliability and usability of our product.
  • Enjoy the power to shape your own projects and help set the direction for new development.
  • Collaborative, small-team environment where your impact is highly visible
Perks and Benefits
  • The expected base salary range for this position is between $156,000 and $180,000 depending on experience.
  • Competitive salary, cash bonus potential and equity
  • Full medical, dental, and vision benefits for each US employee
  • Fidelity 401k available for each US employee
  • Unlimited PTO
  • And...more!